Search results

Marking the start of a consolidation era defined by unification, automation, and centralized control State of Network Security 2026 Select a size Which network Can AlgoSec be used for continuous compliance monitoring? Yes, AlgoSec supports continuous compliance monitoring. As organizations adapt their security policies to meet emerging threats and address new vulnerabilities, they must constantly verify these changes against the compliance frameworks they subscribe to. AlgoSec can generate risk assessment reports and conduct internal audits on-demand, allowing compliance officers to monitor compliance performance in real-time. Security professionals can also use AlgoSec to preview and simulate proposed changes to the organization’s security policies. This gives compliance officers a valuable degree of lead-time before planned changes impact regulatory guidelines and allows for continuous real-time monitoring. Executive summary After years of expansion and tool proliferation, 2026 will mark the beginning of a consolidation period defined by unification, automation, and control. As hybrid architectures, AI-driven workloads, and shared operational responsibilities continue to blur the boundaries between security, cloud, and network teams, the focus has shifted from adding tools to simplifying them. Security management solutions are now being evaluated through a much more strategic lens. When respondents were asked to identify the primary driver behind their selection, the dominant theme was control: the ability to unify policies, streamline operations, and reduce the overhead that comes from managing multiple, disconnected systems. Since last year’s report, interest in consolidation and simplification has only intensified. Multi-cloud remains the dominant operating model, but instead of seeking scale and breadth, businesses are prioritizing visibility and control. 55% of companies now select cloud platforms primarily based on security, a trend reinforced by Deloitte’s 2024 findings that security plays a “major role” in cloud investment decisions. Increasingly, every cloud decision is a security decision. AI is reshaping this environment even further. The priority has shifted from pilot to practice, with teams applying AI to practical, low-risk functions such as hybrid network visibility, compliance enforcement, and rule optimization. Across all trends uncovered in this research paper, the unifying thread is consolidation. This reflects an industry moving from fragmentation to cohesion, simplifying technology stacks, standardizing workflows, and building shared accountability across disciplines that once operated separately. Based on insights from 504 security, network, and cloud professionals across 28 countries, this year’s report offers one of the clearest snapshots yet of this transformation. As the network security landscape enters this new period of consolidation and clarity, one message stands out: resilience now depends less on how many tools an organization deploys, and more on how effectively those tools connect technically, operationally, and organizationally. Trend 1: The great firewall rebalance Organizations no longer buy tools solely to check boxes for compliance or to deliver incremental improvements. Instead, they are motivated by the need to regain centralized control in the face of sprawling hybrid architectures and increasingly fragmented policy enforcement. When respondents were asked to identify the primary driver behind their selection, the dominant theme was control: the ability to unify policies, streamline operations, and reduce the overhead that comes from managing multiple, disconnected systems. Performance and cost continue to matter, but they are no longer defining factors with performance and scalability emerging as the top driver at 29.4%. Our findings indicate that organizations are prioritizing platforms that can deliver consistent visibility across hybrid environments, integrate seamlessly with cloud-native services, and support automation at scale. This shift reinforces a broader trend seen throughout the survey – that security teams are consolidating around fewer, more capable management layers that can provide visibility in an increasingly complex network environment. This strategic shift is tied closely to the broader evolution of the firewall itself. As hybrid and multi-cloud architectures continue to expand, the role of the firewall is undergoing its most significant shift in more than a decade. Firewalls remain a critical enforcement point for securing digital assets, but the way enterprises deploy, manage, and evaluate them is changing rapidly. Rather than treating firewalls as isolated perimeter controls, organizations are increasingly viewing them as part of a distributed, policy-driven security environment that must operate consistently across data centers, public clouds, and emerging application environments. This evolution is being driven by the growing complexity of distributed infrastructures and the rising need for unified visibility. With workloads and data now spanning multiple clouds and service layers, security teams are rethinking how firewall capabilities fit into broader governance and automation frameworks. Scalability, interoperability, and centralized orchestration have become as important as raw inspection performance. What’s left is a strategic rebalance, where organizations are demanding more flexibility at the edge, more consistency in the middle, and more visibility at the management layer. Firewall strategies split across three paths This year’s findings report that 30% of respondents plan to expand into multi-vendor environments to maintain flexibility and avoid lock-in, while 24% are actively consolidating. A further 22% intend to maintain their current mix, signaling a period of stabilization after years of expansion. The data suggests that rather than pursuing one path exclusively, enterprises are balancing control and choice, consolidating at the management layer while retaining multi-vendor diversity at the edge. Palo Alto and Fortinet lead a tightening vendor field Vendor preferences in 2026 highlight consolidation in practice. Palo Alto Networks has reclaimed the top position it lost in 2025, with Fortinet rising from fourth to second, showing the appeal of tightly integrated security and networking under one platform. Palo Alto has gone on the record this year stating that consolidating security data into a single platform will avoid redundant ingestion costs and, with the help of AI analytics, make insights available across the entire security stack1 Azure Firewall drops to third as organizations rebalance native integration with cross-cloud interoperability. AWS Firewall and Check Point maintain steady adoption, while GCP enters the ranking – perhaps evidence that, even as the market consolidates, ecosystem “fit” can create room for additional players. Notably, Cisco dropped out of the cloud-firewall list entirely, reflecting a maturing market where nearly all organizations now deploy some form of pure cloud-based firewalling. Top five firewall vendors ranked by enterprise deployment and market shifts Key takeaway Firewall strategy is moving into a more deliberate and balanced phase. Rather than expanding indiscriminately or consolidating outright, organizations are adopting nuanced approaches that blend flexibility with control. Multi-vendor diversity remains valuable at the edge, but consolidation at the management layer is becoming essential for achieving consistent policy enforcement and operational clarity. As hybrid environments grow more complex, the enterprises that succeed will be those that rationalize their footprint without sacrificing the adaptability required in a multi-cloud world. Trend 2: Cloud firewall strategies prioritize consolidation As organizations mature their hybrid and multi-cloud environments, 2026 marks an inflection point in firewall strategy. After several years of vendor diversification, the pendulum is swinging back toward consolidation. Businesses are prioritizing unified visibility, simplified operations, and consistency in policy enforcement across complex, distributed networks. In other words, the focus has shifted from expanding coverage to regaining control – reducing sprawl, streamlining management, and integrating security more deeply into cloud architectures. Cloud firewall adoption solidifies as a strategic standard The move toward cloud-based firewalls continues, but with a change in tone. Rather than experimenting with cloud-native protection, most organizations now view it as essential to enterprise security. 24% of respondents plan to move primarily to cloud firewalls over the next two years, confirming that cloud-native controls are no longer an emerging consideration but a baseline expectation. As hybrid infrastructures become the norm, firewall strategies are being designed to operate seamlessly across both on-premise and cloud environments, enforcing consistent policy without introducing operational complexity. Hybrid control replaces hybrid compromise On the face of it, the emphasis on consolidation might signal a retreat from hybrid operations, but it actually represents a new approach to managing them. The question has simply evolved from, “which firewall secures the cloud,” to “which cloud secures the enterprise?” Firewalls are evolving from perimeter defenses into unified control planes for policy orchestration, compliance, and risk management across all environments. As AI workloads and distributed applications proliferate, organizations are standardizing policy and automating enforcement to prevent drift and maintain continuous compliance. Over the next 2 years, how do you expect your firewall strategy to evolve? Key takeaway The firewall market is consolidating around fewer, more integrated vendors. Palo Alto Networks and Fortinet now anchor the field, with cloud-native solutions firmly mainstream and GCP emerging as a secondary player. The dominant priority for 2026 is control: simplifying management, tightening policy enforcement, and building the unified visibility layer that modern hybrid enterprises depend on for resilience. Trend 3: Security becomes the deciding factor in cloud platform selection The cloud has now confidently become the enterprise control layer, where security, data, and consolidation converge. As organizations mature their multi-cloud strategies, the criteria for choosing providers are shifting. Performance and price remain relevant, but they are no longer decisive. In 2026, the dominant priority will be security, confirming that every cloud decision will indeed be a security decision. The rise of AI-driven workloads, compliance requirements, and cross-platform orchestration has made security the critical benchmark for platform selection. Security leads cloud decision-making According to Gartner, worldwide end-user spending on public cloud services reached $723.4 billion in 2025 (up from $595.7 billion in 2024)². More than half (55%) cited security as their top consideration, far exceeding any other factor. Ecosystem and integrations ranked second at 44%, while AI and data services (42%) followed closely behind. Collectively, this paints a picture of a market driven by protection, compatibility, and intelligence rather than cost. The finding also underscores a broader mindset shift – enterprises are no longer treating cloud as infrastructure, but as the foundation for secure operations. Integration and ecosystem strength outweigh price and performance The emphasis on ecosystem integration reflects how organizations are consolidating around platforms that offer tighter interoperability across security, networking, and data layers. Rather than adopting best-of-breed tools in isolation, businesses are favoring providers that enable unified visibility and shared policy control. This trend echoes the broader consolidation theme observed across firewall and automation data: complexity has reached its limit, and integration has become the differentiator. When selecting a cloud platform, which factor carries the most weight? AI and data services redefine platform value The inclusion of AI and data services among the top selection criteria signals a growing recognition that intelligence is now inseparable from security. Organizations increasingly choose cloud platforms that can support AI-enhanced monitoring, anomaly detection, and compliance analytics within the same environment. The result is a more strategic alignment between where data resides and how it is protected, a shift from infrastructure management to intelligent security orchestration. Consolidation shapes platform strategy These findings also reflect a broader pattern of consolidation across cloud ecosystems. While multi-cloud remains the operational norm, the drivers behind it have changed. Rather than spreading workloads for cost or redundancy, organizations are choosing fewer platforms and using them more deeply, consolidating workloads, policies, and visibility tools to reduce friction. The balance of flexibility and control remains key, but the overall gravitational pull is toward simplification. Consistent policy enforcement overtakes visibility as the top cloud security challenge The findings from the survey show a notable shift in the challenges organizations face when securing cloud applications. For the first time, maintaining consistent policies across on-premise and cloud environments (58.6%) has overtaken lack of visibility into cloud applications (54.3%) as the number-one obstacle. This change reflects the realities of growing tool sprawl and increasingly mixed deployment models. As businesses consolidate platforms and pursue unified control, the problem isn’t identifying what applications exist, but enforcing the right policies for those applications across multiple clouds, networks, and security layers. This also reinforces the broader consolidation narrative, where consistency is key to cloud security. Rank the cloud service providers most used in your organization Key takeaway It would be reasonable to say that cloud strategy and security strategy are now one and the same. With more than half of organizations ranking security as the defining factor in provider selection, this year has cemented the cloud’s role as the enterprise security backbone. The future of multi-cloud will not be decided by speed or scale alone, but by how effectively each platform can deliver integrated protection, data intelligence, and operational clarity across the entire digital estate. Trend 4: SD-WAN further cements its role The enterprise network edge continues to evolve, with SD-WAN now established as a mainstream capability rather than a specialist solution. As organizations expand their hybrid environments and distributed workforces, the demand for secure, high-performance connectivity has solidified SD-WAN’s role as the connective tissue between data centers, clouds, and users. This year’s findings show that the market is maturing: adoption is nearly universal, leadership has reshuffled, and the differentiator is no longer deployment speed but the depth of security integration. SD-WAN adoption reaches maturity For the first time, SD-WAN can be considered standard practice across most enterprise environments. The share of organizations reporting no solution applied has dropped sharply to 21.1%, confirming that SD-WAN has moved beyond early adoption. Businesses increasingly view it as foundational to hybrid and multi-cloud architectures, providing the visibility and policy control that traditional WAN models lacked. The focus now is on consolidating SD-WAN with broader security frameworks to create unified, adaptive network fabrics. Which SD-WAN ( Software-Defined WAN) solutions is your organization using? (select all that apply) Fortinet takes the lead in an increasingly competitive market This year’s results mark a significant milestone: Fortinet (31%) has become the most widely used SD-WAN solution for the first time, reflecting its strength in integrating advanced security and networking under one platform. Cisco (30.7%) remains a close second, leveraging both its Viptela and Meraki offerings to address enterprise and distributed site use cases. VMware (20.7%) and Palo Alto Networks (19.2%) maintain consistent adoption, while Aruba (16.1%) and Versa (13%) continue to serve mid-enterprise and service-provider environments. The data suggests a crowded but stabilizing market, with leadership now determined by convergence rather than coverage. Integration overtakes performance as the new priority While performance and scalability remain important, the defining value of SD-WAN this year will be integration, particularly its ability to operate seamlessly within consolidated security ecosystems. According to Gartner, by the end of 2026, 60% of new SD-WAN purchases will be part of a single-vendor SASE offering, up from 15 % in 2022.³ Organizations are no longer viewing SD-WAN as a stand-alone connectivity layer but as a key component of unified network and security orchestration. This trend is reinforced by the parallel growth of Secure Access Service Edge (SASE), where many SD-WAN platforms now serve as the underlying transport for cloud-delivered security functions. Simplified management drives next-phase adoption As the market matures, ease of management has emerged as a primary differentiator. Enterprises want simplified, policy-based control that extends across both SD-WAN and security operations. Vendors capable of offering single-pane management, covering traffic routing, segmentation, and threat prevention, are gaining a decisive edge. This shift underscores the industry’s pivot from product expansion to platform unification, where value lies in operational simplicity and end-to-end visibility. Key takeaway SD-WAN has transitioned from optional to essential. Adoption is near-universal, and leadership now depends on the depth of integration with security and orchestration platforms. Fortinet has overtaken Cisco to lead the market, signaling that convergence, not performance, is the new metric for success. As enterprises strive to unify their networking and security stacks, SD-WAN’s role as the foundation of hybrid connectivity has never been clearer. Trend 5: SASE moves from exploration to standardization Secure Access Service Edge (SASE) continues its steady progression from a niche innovation to a mainstream framework for unified security and networking. Once viewed primarily as an aspirational goal, SASE is now being operationalized across industries as organizations seek to consolidate connectivity, control, and cloud-delivered protection within a single architecture. This year’s findings show a market that has matured beyond experimentation. Adoption is broadening, vendor leadership is stabilizing, and integration with SD-WAN has become the norm. Non-adoption falls for the third consecutive year For the third year running, the share of organizations without a SASE solution has declined, down to 27.5% from 40% in 2025. This consistent decrease signals that SASE adoption is no longer exploratory but a planned progression for most enterprises. The increasing prominence of SASE is also reflected by Gartner, who estimate that between 2025 and 2028 the market will have a CAGR of 26% and exceed $30 billion by the end of the decade. As hybrid and remote workforces become permanent fixtures, businesses are embedding SASE as the control layer that secures access, governs data movement, and enforces consistent policy across all environments. The technology’s role has shifted from experimental pilot to strategic pillar. Which SASE platform is your organization using? Zscaler and Prisma Access maintain leadership amid growing competition Zscaler (37.8%) remains the market leader in SASE adoption, closely followed by Palo Alto Networks’ Prisma Access (34.4%). Both platforms have consolidated their positions through strong ecosystem partnerships and mature policy integration, particularly across large enterprise deployments. Netskope (21.9%) continues its rapid ascent as the fastest-growing challenger, driven by its focus on data protection and multi-cloud visibility. Smaller providers, including Cato (9.3%), Barracuda (4.7%), and other vendors (5.4%), maintain regional or industry-specific footholds where turnkey simplicity and localized deployment remain priorities. SD-WAN and SASE converge under single-vendor models According to the Dell’Oro Group, single vendor SASE will grow twice as fast as multi-vendor SASE in the next few years5. Organizations increasingly favor single-vendor frameworks that deliver both connectivity and security from the same platform, reducing latency and operational overhead. This reflects the same drive toward consolidation seen across the broader network security landscape to fewer moving parts, shared visibility, and unified control. Last year’s Gartner projection that more than half of SD-WAN purchases will be tied to integrated SASE offerings6 by 2026 appears well on track. In fact, the Dell’Oro Group anticipates single-vendor SASE will make up 90% of the market by the end of the decade. Implementation complexity gives way to operational consistency The challenges that once slowed SASE adoption, such as multi-component integration, legacy dependencies, and management fragmentation, are giving way to more standardized deployment models. Enterprises are learning to phase implementation, layering security and access capabilities without disrupting core connectivity. As policy orchestration becomes more automated and AI-assisted, SASE is evolving from a complex project to an achievable operational baseline for hybrid enterprises. Key takeaway SASE has crossed the threshold from early adoption to normalization. Zscaler and Prisma Access continue to lead, but Netskope’s rapid rise shows that innovation still drives competition. The decline in non-adoption rates confirms that SASE is now the de-facto model for secure, distributed access, valued for its operational simplicity and the consistency it delivers across the modern enterprise network. Trend 6: True zero trust remains elusive Zero Trust remains one of the most discussed principles in cybersecurity, yet one of the slowest to fully materialize in practice. The philosophy of “never trust, always verify” continues to guide strategic planning, but this year’s data reveals that operational progress has stalled. Awareness and intent are high, but implementation maturity has plateaued. Most organizations have laid the groundwork, such as segmentation, identity management, and access control, but few have advanced beyond these initial stages to comprehensive, policy-driven Zero Trust frameworks. Adoption steady, but forward motion limited Overall Zero Trust adoption remains consistent at around 55-60%, nearly identical to last year. However, the share of organizations still in the learning phase has increased from 20% to 31%, indicating that while more enterprises are engaging with the concept, fewer are moving to execution. This highlights a widening gap between intent and implementation, where Zero Trust is now universally recognized as the right approach, but practical deployment continues to challenge even mature security teams. What is your current Zero Trust implementation status? Execution gaps widen as awareness grows The data also shows that increased awareness has not translated into faster rollout. Many enterprises are still navigating legacy infrastructure, fragmented identity systems, and policy enforcement across hybrid networks. Even organizations that have implemented partial Zero Trust measures, such as micro-segmentation or network division, often lack unified governance models. The result is a growing class of “permanently pilot” deployments that are “active,” but not yet integrated or automated. This finding is echoed by Gartner, which revealed that in 2026, only 10 % of large enterprises will have a “mature and measurable” Zero Trust programme in place, up from less than 1 % today7. Fragmented approaches slow standardization The variety of adoption paths available further complicates progress. Some organizations are investing in Zero Trust Network Access (ZTNA) as an entry point, while others prioritize endpoint verification or identity-based access control. This flexibility allows for adaptation but prevents standardization, making it difficult to measure maturity consistently across industries. The absence of a universal framework also leads to uneven tool adoption and inconsistent results, reinforcing the need for clearer guidance and shared benchmarks. Education becomes the critical barrier The rising proportion of organizations still in the learning phase reflects a shortage of accessible best practices and practical guidance. Many teams understand the goal of Zero Trust but struggle to translate it into architectural blueprints or measurable outcomes. Training, governance alignment, and vendor-neutral frameworks are now essential to bridge this gap, ensuring that education accelerates adoption rather than replacing it. Key takeaway Zero Trust remains the strategic north star for enterprise security, but the journey toward full implementation has stalled. Awareness is at an all-time high, yet maturity has barely shifted. This year’s findings highlight an execution gap driven by complexity, fragmented infrastructure, and limited practical guidance. Organizations that focus on education, cross-team alignment, and measurable governance will be best positioned to move Zero Trust from aspiration to operational reality. Trend 7: AI-powered threats and defenses go mainstream Artificial intelligence has become both the newest threat vector and the next frontier of defense. According to McKinsey, phishing attacks have surged by 1200% since generative AI went mainstream in 2022, but at the same time, more than 90% of defensive AI capabilities are being outsourced to third parties – showing that businesses are keen to leverage the technology to defend themselves. That trend will continue in 2026, when the conversation around defensive AI will move beyond theory and into practice. Organizations are no longer asking if AI will change their security posture. Instead they want to know how fast they can adapt. Our findings show that while most enterprises are already taking steps to address AI-powered attacks, only a minority have made the deeper structural and procedural changes needed to counter them effectively. The result is a mixed picture - strong awareness, accelerating experimentation, but uneven readiness. How they are adapting to AI-powered attacks? Most organizations are adapting, but depth of change varies The majority (65%) have already adapted their strategies, with 23.6% making major structural changes and 40.9% implementing moderate adjustments. Surprisingly, only 15.6% reported no action at all. This points to an industry that has accepted the inevitability of AI as both an enabler and an adversary. However, while surface-level adaptations are widespread, the transformation of governance, tooling, and training remains in its early stages. AI investment shifts toward visibility and control This year’s responses mark a sharp contrast to last year. Where last year’s priorities centered on real-time notifications and incident response, this year focus has shifted to AI-powered visibility and risk prioritization (39.1%). Organizations are using AI to map hybrid networks, detect policy drift, and surface anomalies faster. AI-driven compliance and policy enforcement (23.7%) has emerged as the next priority, reflecting growing confidence in machine-led governance for structured, repeatable tasks. In essence, enterprises are applying AI where precision matters more than prediction. Operational hygiene overtakes experimentation While generative AI captured early attention, most organizations are deploying AI to improve operational hygiene rather than innovation. Application-centric security modeling (18.4%) and identification of unused or overly permissive rules (15.8%) rank lower but illustrate a pragmatic trend: using AI to clean up, not reinvent. These controlled, low-risk use cases deliver measurable value while avoiding the unpredictability associated with broader AI automation. The preference for predictability over experimentation signals a cautious but maturing stage of adoption. AI readiness exposes gaps in governance and skills Despite rising adoption, governance and human oversight remain persistent challenges. Many teams lack formal frameworks to validate AI-driven decisions or ensure accountability when automated systems act autonomously. The gap between AI’s technical potential and organizational readiness mirrors the early years of cloud adoption, where enthusiasm outpaced structured implementation. Without parallel investments in training, oversight, and transparent governance, AI-powered defenses risk replicating the same visibility issues they are meant to solve. Which AI cases will have the greatest impact over the next 2 years? Key takeaway AI has become a defining force in network security, driving both threat evolution and defensive transformation. Two-thirds of organizations have already adjusted their strategies, but maturity levels remain uneven. The focus has shifted decisively from detection to visibility, and from experimentation to control. As enterprises refine their governance frameworks and strengthen human oversight, AI will transition from a reactive tool to an operational cornerstone, turning awareness into measurable resilience. Trend 8: Automation maturity continues What began as a gradual shift toward orchestration and policy simplification in previous years has now become a defining operational capability. Our research confirms that automation has matured into a measurable discipline that directly influences efficiency, compliance, and resilience across hybrid networks. Yet while the benefits are increasingly clear, full-scale orchestration across environments remains a work in progress. Automation becomes a measurable benchmark The results show a clear divide: 24% of organizations now operate at a high level of automation, while 30% report moderate automation. Twenty-six percent remain at a low level, and 20% still rely primarily on manual processes. This sprawl validates last year’s prediction that automation would become foundational to network security. It also underscores the persistence of a maturity gap between those leveraging automation strategically and those applying it reactively to reduce workloads. From process acceleration to policy assurance Beyond accelerating workflows, organizations are now using automation to enforce security policy consistently across hybrid environments. This includes automated risk analysis, change verification, and compliance tracking - all areas once dominated by manual oversight. By shifting from speed to assurance, automation has become central to maintaining reliability and reducing configuration drift, particularly in multi-vendor or multi-cloud architectures where consistency is hardest to achieve. How would you describe your organization’s current level of automation in network security management? Operational and cultural barriers persist Despite progress, barriers remain. Many organizations struggle to extend automation across silos, particularly between cloud, network, and application security teams. Legacy approval processes, lack of centralized governance, and limited cross-tool integration continue to restrict scalability. This has resulted in “partial” automation, where specific workflows are automated, but end-to-end orchestration across systems and teams remains difficult to pin down. This mirrors the early adoption curve we saw in cloud migration – progress being built through incremental cultural and procedural change rather than technology alone. A proving ground for AI-enhanced orchestration The intersection between automation and AI is emerging as the next frontier. AI-assisted orchestration tools are beginning to optimize rule management, recommend policy changes, and predict the downstream impact of configuration updates. However, confidence in fully autonomous decision-making remains low. For now, organizations are embracing a human-in-the-loop model, where automation handles execution while humans retain control of validation and governance. This balance is shaping a pragmatic, risk-conscious approach to automation at scale. Key takeaway Automation has evolved from a strategic ambition into an operational benchmark. Nearly half of all organizations now operate with moderate to high levels of automation, validating its role as a core pillar of network security. Yet maturity remains uneven, with cultural inertia and fragmented governance slowing progress. The next leap will come from convergence and uniting automated workflows, AI-assisted orchestration, and unified policy management to deliver the end-to-end agility and assurance enterprises have long aimed for. Trend 9: Consolidation - teams and platforms move toward unified control As hybrid environments expand and the boundaries between cloud, network, and security responsibilities continue to blur, businesses are rethinking not only what they manage but how they manage it. Our findings reveal an industry shifting toward shared accountability, unified visibility, and integrated control. Consolidation is happening at two levels: teams and platforms, and both are accelerating. Team structures shift toward shared ownership The operational model for security is undergoing a quiet but significant transformation. Organizations are moving away from isolated, domain-specific teams and toward structures that promote shared priorities and cross-functional coordination. The findings show that only 19% are currently working in siloed departments, while 36% of respondents report that their cloud, network, and security teams have consolidated around shared tools. A further 25% of respondents have aligned around shared initiatives and 20% have gone further, operating as fully consolidated teams. This represents a substantial step toward unified governance. Instead of managing separate workflows or conflicting priorities, teams are aligning around common frameworks for risk, compliance, and service delivery. As AI and automation become more embedded in operations, this collaborative approach is emerging as the new standard for effective decision-making and consistent policy enforcement. Shared tools become the foundation for cross-team alignment The rise of shared tooling reflects a deliberate move toward standardization. When cloud, network, and security teams use different systems, visibility fractures and operational gaps appear. But when they converge around shared management layers and shared data sources, collaboration becomes frictionless. This year’s results show that shared tools are now the primary mechanism for team alignment, which is the strongest sign yet that consolidation is being built from the ground up through day-to-day operational workflows rather than top-down restructuring. How would you best describe the current alignment of cloud & network security teams? Platform consolidation accelerates as organizations seek While team structures are converging, platform consolidation is accelerating even faster. According to our findings, 75% of organizations have consolidated at least some portion of their security tools or policies under a single platform of management layer. While team structures are converging, platform consolidation is accelerating even faster. According to the 2026 findings, 75% of organizations have consolidated at least some portion of their security tools or policies under a single platform or management layer. Around 30% report partial consolidation, 19% say the majority of their infrastructure now sits under one platform, and 10% have achieved full consolidation. Only a quarter still operate with fragmented tooling. What percentage of your cloud and network security tools are currently consolidated under a single platform or policy engine? This reflects a broader desire for unified visibility and simplified operations. As hybrid and multi-cloud deployments grow in scale, point solutions are becoming operationally burdensome. Organizations increasingly want fewer dashboards, fewer approval workflows, and fewer interfaces to manage, instead preferring integrated platforms that are capable of enforcing policy consistently across environments. Key takeaway Consolidation is redefining how enterprises operate, both structurally and technologically. Teams are aligning around shared tools, shared responsibilities, and, increasingly, shared governance models. At the same time, platforms are consolidating to provide unified visibility and consistent policy enforcement across hybrid environments. Conclusion The state of network security this year is defined by clarity emerging from complexity. After several years of rapid expansion across multi-cloud environments, AI-powered operations, and hybrid architectures, organizations are entering a new phase of consolidation and control. Our survey findings reveal a collective recalibration, with organizations moving away from tool proliferation toward unified management, shared visibility, and measurable automation. Firewalls, SD-WAN, and SASE have all evolved into foundational pillars of a more cohesive network security stack, while Zero Trust and AI continue to mature, bridging the gap between strategy and execution. Compared to last year, we are now seeing a transition from experimentation to optimization. Where last year’s findings reflected a market still expanding in every direction, this year captures a shift toward simplification. The drive for flexibility has given way to the pursuit of consistency, where performance metrics are being replaced by governance and assurance benchmarks. Consolidation of vendors, tools, and even teams, now defines the path forward. Adding layers of protection is not enough – those layers need to operate cohesively. Looking ahead, the next generation of network security will hinge on visibility, automation, and collaboration, not as separate initiatives, but as integrated capabilities that span every layer of the digital ecosystem. For an industry that has long been dominated by complexity and a “more is better” approach, the next year might be quite surprising. As organizations continue to align their cloud, network, and security teams, the most resilient will be those that embrace simplicity rather than complexity, transforming control into confidence. Methodology This report is based on comprehensive research conducted by AlgoSec, gathering insights from security, network, and cloud professionals across a broad range of industries and regions. The data was collected through a global survey carried out in the second half of 2025, designed to capture real-world perspectives on the challenges, priorities, and evolving trends shaping network security in 2026. Survey scope and participants The study reflects responses from 504 professionals representing 28 countries. Participants span a diverse set of roles, including security architects, engineers, and analysts (25%); IT and network managers (21%); CISOs and heads of security (13%); consultants and specialists (9%); CTOs, CIOs, and senior IT leaders (6%); business, program, and product managers (7%); DevOps, cloud, and software professionals (8%); and other or undefined roles (11%). This broad representation ensures a balanced view across enterprise, mid-market, and specialist organizations operating within hybrid and multi-cloud environments. Research objectives The primary goal of this study was to identify key trends and shifts in network security practice, from strategic priorities to operational realities. The research explores: How organizations are consolidating security management across hybrid and multi-cloud architectures The evolving role of automation, orchestration, and AI-driven security in modern frameworks Adoption trends across firewalls, SD-WAN, SASE, and Zero Trust architectures The impact of consolidation on tool selection, team alignment, and visibility How enterprises are adapting to AI-powered threats and increasing operational complexity Data collection and analysis Participants were asked to provide both quantitative and qualitative feedback on their current deployments, planned investments, and primary challenges in managing network security infrastructure. The survey established new baselines in several areas, including AI-powered attack readiness, automation maturity, and consolidation of tools and teams, while tracking multi-year trends from previous editions of the research. Responses were analyzed to identify correlations, emerging patterns, and year-over-year changes in market behavior. By leveraging direct insights from practitioners and decision-makers, this study provides an objective, vendor-neutral snapshot of the global network security landscape. Its findings are intended to help organizations benchmark their progress, assess market maturity, and make informed decisions as they navigate the next stage of digital transformation. About AlgoSec AlgoSec, a global cybersecurity leader, empowers organizations to securely accelerate application delivery up to 10 times faster by automating application connectivity and security policy across the hybrid network environment. With two decades of expertise securing hybrid networks, over 2200 of the world’s most complex organizations trust AlgoSec to help secure their most critical workloads. AlgoSec Horizon platform utilizes advanced AI capabilities, enabling users to automatically discover and identify their business applications across multi-clouds, and remediate risks more effectively. It serves as a single source for visibility into security and compliance issues across the hybrid network environment, to ensure ongoing adherence to internet security standards, industry, and internal regulations. Additionally, organizations can leverage intelligent change automation to streamline security change processes, thus improving security and agility. Learn how AlgoSec enables application owners, information security experts, SecOps and cloud security teams to deploy business applications faster while maintaining security at www.algosec.com . For more information, visit www.algosec.com Get the latest insights from the experts Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

Explore Algosec's customer success stories to see how organizations worldwide improve security, compliance, and efficiency with our solutions. Global Transport Company Moves Firewall Changes Faster Organization Global Transport Industry Transportation Headquarters International Download case study Share Customer
success stories "Automation is definitely the way to go. We can now stay on top of the process even while we migrate our firewalls" Background A global transport and logistics company operates in nearly 100 countries and employs 50,000 people. From its 1000 offices, the company manages supply-chain solutions for thousands of customers all over the world each and every day. Found in virtually every industry, customers range from large international companies that require transportation services by sea and air to medium size business that ship mainly over the road. In addition, the company offers warehousing solutions on every continent to help customers with their logistics. Challenges Operating four major data centers on four continents, the security team’s daily tasks had become overwhelming. For the last several years, the company invested heavily in its rapidly growing IT and network security staff, but at its current size and level of activity, finding enough experienced staffers was practically impossible and too expensive to sustain. The only way forward was a network security automation solution that would: Automate many of the daily change requests across the 50+ firewalls, saving time so that IT and security staffers could work on other critical tasks Eliminate errors in firewall rules Demonstrate the ability to work with Cisco FirePower NGFW in the future The company also presented a special challenge in the form of its already-existing deployment of Cisco Bridge Virtual Interface (BVI) devices. The BVIs essentially act as Layer 2 firewalls. Since they, too, store firewall rules, they have to be included in the automation process. Solution The company brought in three leading Network Security Policy Management (NSPM) solutions to compete in a three-month proof-of-concept contest. The combination of AlgoSec Horizon Security Analyzer (AFA) and AlgoSec Global Transport (AFF) stood above the rest. AlgoSec Horizon Security Analyzer ensures security and compliance by providing visibility and analysis into complex network security policies. AlgoSec Global Transport improves security and saves security staffs’ time by automating the entire security policy change process, eliminating manual errors, and reducing risk. Results The two AlgoSec products, Horizon Security Analyzer and Global Transport went into production in mid-2018 where they have been working ever since, with the following results: Usability was outstanding—the products integrate well and are easy to learn and operate Single-pane-of-glass visibility across the network was suddenly available and useful to the network security staff The automation demonstrated the ability to slash the time required to push firewall changes and to eliminate errors The company found AlgoSec’s Tier 3 support to be impressive. Working directly with Tier 3 personnel and the ever-eager AlgoSec developers, the company’s Senior Technology Architect and other senior security analysts were able to work closely with AlgoSec to solve the BVI conundrum and implement the entire AlgoSec solution. Schedule time with one of our experts

Efficiently manage network security policies with AlgoSec’s solution to ensure compliance, reduce risks, and streamline operations across your hybrid IT environment. Network security policy management software (NSPM) What is network security policy management? Network security policy management is the process of creating, implementing and maintaining policies and procedures to protect an organization’s network and data against unauthorized access, use, disclosure and disruption, modification or destruction. Specific activities include identifying and mitigating security risks, testing and deploying changes to connectivity and security rules, ensuring compliance with relevant laws and regulations and more. AlgoSec provides the leading solution for simplifying and automating network security policy management across on-premise firewalls, SDNs and in the public clouds. Its centralized management enables sweeping visibility, effective risk detection and intelligent automation. These capabilities come together to drive stronger security, sustained compliance, reduced risk and faster application delivery – all while cutting manual work, costs, and compliance efforts. Schedule a Demo Why do you need firewall and network security management? Centralized firewall and network security management is essential for preserving a secure, compliant environment – across the devices and workflows in your IT ecosystem. It’s also fundamental for solving a range of connected issues that generate security risks and non-compliance concerns: Technical debt Shadow IT Inconsistent, redundant and obsolete rules Visibility blind spots Growing network complexity IT personnel changes Emerging security vulnerabilities. A firewall and network security management solution helps you achieve IT security and compliance goals – at scale – through extensive integration options, full-scale visibility and intelligent automation. It keeps your hybrid network safe by providing clear processes for aspects ranging from change management to compliance reporting, and monitors if these processes remain effective as your requirements evolve. Schedule a Demo Network security management FAQ Frequently asked questions about network security management and AlgoSec’s network security policy management platform. How does firewall security management differ from network security management? Firewall security management is one of the specialized components of network security management – the practice of ensuring the overall safety of the entire network and its devices. Specifically, firewall management involves configuring rules to allow or block specific types of traffic based on factors such as IP address, port and protocol. Network security management covers a wider range of tasks, but both processes are essential for reducing the organization’s attack surface and for effective risk management. What key role does firewall configuration management play in network security? The security and exposure of web, email, VPN and database servers, routers, workstations and other devices depend on effective firewall configuration management. That’s because firewalls are responsible for blocking unwanted or malicious traffic (e.g. malware, ransomware, denial-of-service attacks, etc.) and allowing legitimate traffic to pass through. Besides creating traffic filtering rules, managing firewall configurations also involves securing access, keeping the firewall up to date. And since most regulatory authorities expect organizations to have firewalls as part of their security controls, the effectiveness of firewall configuration management cascades across compliance requirements as well. How does network security management help with risk management? Network security management activities help identify the sources of IT security risk, apply mitigating measures and monitor the effectiveness of this cycle as the business environment evolves. Specific processes include: Identifying potential vulnerabilities (e.g. application connectivity flows, weak credentials, unpatched software, open ports, etc.) through security assessments and penetration testing. Prioritizing risks and keeping security teams aligned on which high-impact security threats need fast resolution to avoid breaches and situations of non-compliance. Implementing security controls (e.g. firewalls, intrusion detection and prevention systems, encryption, etc.) that strengthen the organization’s security posture. Pushing firewall rules to devices so they don’t open security holes and increase exposure to cyberattacks. Continuously monitoring the network for evidence of security breaches, (e.g. unusual activity, unauthorized access etc.). Applying cybersecurity incident response plans in the event of a successful attack (e.g. isolating affected systems) to avoid or minimize downtime and ensure business continuity. How can I proactively assess and manage security threats? Information security offers a range of options to proactively determine and manage security threats across people, processes and technology: Regular security assessments that scrutinize networks, systems and applications to identify vulnerabilities and exposure to cyberattacks. Examples include penetration testing, vulnerability management and threat modeling. Multi-layered security through tools such as firewalls, intrusion detection and prevention systems and antivirus software. Policy and procedures reviews and updates that ensure they remain compliant and effective against bad actors’ evolving tactics. Network monitoring with real-time notifications to identify signs of compromise such as unusual login and account activity, suspicious or unknown files, and evidence of device tampering. Network log management that documents activity across cloud environments, web applications, endpoints and other systems, creating a trail of examinable evidence. Threat hunting searches for indicators of compromise from bad actors who may have evaded detection and maintained a covert presence in the network. Patch management that pinpoints outdated devices and software, delivering necessary upgrades to close security holes and fix known issues. Security awareness initiatives such as training employees and establishing a communication channel they can use to report potential security issues. The right technology reduces the complexity of managing multiple security layers and makes the entire process feasible and efficient. For instance, the AlgoSec Network Security Policy Management platform proactively evaluates the impact of proposed policy changes to minimize risk, prevent outages and maintain compliance. Because it also integrates with leading vulnerability scanners, AlgoSec maps security vulnerabilities to their business applications, so you can effectively assess and prioritize risks based on reliable context data. Can AlgoSec unify visibility and management across cloud, SDN and on-premise enterprise networks? IT and security managers who choose AlgoSec to simplify their network environments mention easy integration and comprehensive network insight as their main ROI drivers. That’s because the AlgoSec Network Security Policy Management platform provides full visibility across firewalls and security controls deployed on public and private clouds, as well as SDNs such as Cisco ACI and VMware NSX. The consolidation it enables makes it easy to: Have an up-to-date map of all the devices on the network Understand the information flow between firewalls Extract information about specific firewall rules Trim the firewall ruleset – by as much as 90% Reduce rule project reviews – from 1 month to 1 day according to our customers. Make firewall rule changes in minutes instead of days. Can I stay compliant using network security policy management solutions? Network security policy management solutions are indispensable to technical and business teams that need to coordinate across complex compliance tasks. They provide tangible benefits throughout the security policy management lifecycle: Automated discovery and visualization Real-time network topology updates Ongoing clean-up and optimization Automatic security rules documentation Continuous compliance checks Ready-to-use reports. An example of this is AlgoSec’s Network Security Policy Management platform, which generates pre-filled, audit-ready compliance reports for industry regulations (e.g. PCI DSS, HIPAA, SOX, ISO 27001, etc.). The AlgoSec solution also enables you to create customized corporate policies, which reduces audit preparation efforts by as much as 80% according to customers. I want to migrate my applications securely. Can AlgoSec’s Network Security Policy Management platform help me achieve this? Absolutely! AlgoSec’s Network Security Policy Management platform simplifies the entire process of migrating applications to the cloud or another data center. Its easy-to-use, customizable workflows help you automatically bring documentation up to date, clean up firewall rules, generate and push security policy changes to devices and lots more. It also keeps network access and the security policy’s integrity and compliance intact throughout the process. Customers mention effective orchestration of all migrations tasks as a core driver for ROI and report reducing rule migration time by 80%. What is the typical pricing range for network security policy management solutions? The cost of network security policy management solutions depends on: Pricing model – per license, per user, per endpoint or device or per usage (e.g. gigabytes processed). Contract duration – one-time fee or subscription (yearly, monthly). Add-ons and modifiers – pricing per integration, per update, per deployment hour. This results in a broad pricing range with large discrepancies between low-end and high-end network security policy management solutions. Yearly costs for complex environments with hundreds of users and multiple providers typically start at a few thousand US dollars and go up to six figures. If you’re interested in AlgoSec, you can request a quote, contact sales or locate a partner near you. We’d love to help! Schedule a Demo Additional network security policy management features AlgoSec’s Network Security Policy Management platform supports the following use cases Auditing and Compliance Avoid costly non-compliance with automatic checks and context-specific advice on proposed rule changes. Generate quick, audit-ready reports for regulations like PCI DSS, HIPAA, SOX, NERC and many more. Change Management Save 80% of the time spent on network security changes with automatic tracking and validation. Stay on top of things with real-time notifications, even when using a managed security service provider. Micro-segmentation Combine security modeling capabilities with deep knowledge of firewall information and application connectivity flows to ensure proper isolation. Automated micro-segmentation rules reduce your attack surface and monitor efficiency over time. Firewall & Network Security Risk Management Reduce risk across hybrid cloud environments by implementing a lean set of standardized firewall rules. Prevent errors and misconfigurations with automatic checks and quick remediation and clean-up. Digital Transformation Use out-of-the-box workflows to discover, map and migrate application connectivity with full compliance and no downtime. Reduce rule migration time by 80%, deploy necessary policy changes as you go, and increase your security posture and business agility. DevOps Improve application deployment speed and security with real-time policy visibility and fast troubleshooting. Simplify your DevOps workflow with smart automation and free your team up for other important tasks. Schedule a Demo Select a size What is network security policy management? Why do you need firewall and network security management? Network security management FAQ Additional network security policy management features Get the latest insights from the experts Use these six best practices to simplify compliance and risk mitigation with the AlgoSec platform White paper Learn how AlgoSec can help you pass PCI-DSS Audits and ensure continuous compliance Solution overview See how this customer improved compliance readiness and risk management with AlgoSec Case study Choose a better way to manage your network

AlgoSec partner program Download PDF Download PDF Add a Title Add a Title Add a Title Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

Learn how to manage security policies across hybrid cloud, data centers, cloud firewalls, security groups, and enterprise firewalls with governance Cloud network security policy management: How to manage policies across hybrid cloud, data centers, and firewalls Cloud network security policy management: How to manage policies across hybrid cloud, data centers, and firewalls A payment application may look simple on an architecture diagram. In practice, one request can leave a data center, cross a next-generation firewall, reach an AWS VPC, call an Azure service, and depend on a Google Cloud firewall policy for a nightly reporting job. Each control has its own console, rule language, owner, and change history. Cloud network security policy management is the practice of governing those access rules as one operating model across hybrid environments . It connects policy inventory, application dependencies , risk, change workflows , and audit evidence across cloud-native controls, cloud firewalls, and traditional firewalls. The goal is not to make each platform behave the same way. It is to translate shared security intent into the right control while keeping the business reason and evidence connected. Schedule a Demo What is cloud network security policy management? Cloud network security policy management focuses on the rules that decide which network traffic is allowed or denied across cloud and data center environments. It includes traditional firewall rules, cloud firewall policies, AWS security groups, Azure network security groups, Google Cloud firewall policies, network ACLs, and related enforcement points. It is part of the broader discipline of network security policy management , but it has to account for the way cloud controls behave differently from perimeter or segmentation firewalls. This is narrower than general cloud security, which also includes identity, workload protection, data security, logging, and vulnerability management. Here, the core question is connectivity access: which source can reach which destination, over which service, for which application, and under whose approval? Start with intent, not syntax A useful model starts with intent. An application server may need to reach a database on a defined port. That intent may become a firewall rule in the data center, a security group rule in AWS, an NSG rule in Azure, and a firewall policy in Google Cloud. The syntax changes, but the review still needs to show the owner, business need, usage, risk, and evidence. Schedule a Demo Why hybrid policy management becomes fragmented Native cloud and firewall tools are useful for local administration. Fragmentation appears when the same application path crosses several environments and no single team owns the route from request to approval to later review. Cloud engineers manage security groups and network ACLs Network teams own data center firewalls and segmentation zones Application owners request temporary exceptions for releases, migrations, or support windows Compliance teams ask for proof months after the change was approved Fragmentation grows quietly. A migration leaves a broad rule in place. A temporary opening never receives a review date. A tag changes, but a rule still points to an older object. A cloud team narrows inbound access, but egress remains too broad. That is why cloud policy work cannot rely only on rule tables. Teams need to know what a rule is for, which application depends on it, whether traffic still uses it, what risk it introduces, and which approval record should stay with it. Schedule a Demo The controls teams need to manage together Hybrid policy management is easier when teams treat controls as part of one governance workflow, not as unrelated configuration lists. The point is not to flatten the technical differences. It is to keep the same decision trail around access, ownership, risk, and review. Security controls to manage in hybrid cloud policy operations Control type Where it appears What policy teams must track Common policy-management risk Traditional firewalls and NGFWs Data centers, private cloud, perimeter, segmentation zones Rules, objects, zones, owners, traffic history, change tickets Stale exceptions, broad objects, undocumented dependencies Cloud firewalls and cloud NGFWs Public cloud networks, hub-and-spoke designs, inspection VPCs or VNets Policy hierarchy, routes, inspection paths, logging, ownership Policy drift between cloud and data center enforcement AWS security groups and network ACLs VPC resources, subnets, instances, load balancers Associated resources, inbound and outbound rules, ports, protocols, peer references Access that looks narrow locally but is broad in context Azure NSGs and application security groups Subnets, network interfaces, virtual networks Rule priority, direction, service tags, application group references Conflicting priorities or rules that no longer match app structure Google Cloud firewall policies and VPC rules Organizations, folders, projects, VPC networks, regions Policy level, rule direction, targets, tags, service accounts, logging Rules applied at the wrong hierarchy level or missed during review Schedule a Demo A practical workflow for managing policies across environments Strong hybrid policy programs do not start by forcing one rule format into each platform. They start by making security intent visible, reviewable, and traceable across the estate. Build a policy inventory across firewalls, cloud accounts, security groups, NSGs, firewall policies, network ACLs, and distributed controls Normalize intent into source, destination, service, direction, application, owner, and business reason Map application dependencies before changing or removing access, especially around migration paths and shared services Review usage and risk, including traffic history, internet exposure, sensitive zones, broad objects, and compliance scope Route changes through risk-based approvals based on application ownership, risk tier, and security review needs Implement and validate the change in the correct cloud or firewall control, then confirm that the intended access still works Preserve the request, approval, implementation, validation, and exception history for later review Schedule a Demo Common mistakes to avoid Automating changes before the team understands application context. A rule may look unused in a short traffic sample but still support a maintenance job, a failover path, or a seasonal finance process. Treating that rule as an automatic cleanup candidate can turn a review task into an outage. Assuming one rule model can be copied into each cloud and firewall platform. Security groups, NSGs, firewall policies, network ACLs, and NGFW rules differ in scope, statefulness, evaluation order, hierarchy, and object model. The right goal is shared intent, not identical syntax. Managing policies only by IP address. IPs change, cloud resources scale, and applications rarely map neatly to one object. Reviews are stronger when they include owners, service names, tags, traffic flows, risk findings, and change history. Reviewing inbound access while leaving egress and east-west traffic out of the conversation. A narrow inbound rule can still leave broad lateral or outbound paths if teams do not review the route end to end. Schedule a Demo What to look for in a cloud network security policy management platform A platform should help teams see policy across cloud-native and traditional enforcement points without pretending those controls are identical. In a real review meeting, the useful question is not just whether a rule exists. It is whether the reviewer can see why the access exists, who asked for it, which service uses it, what traffic proves it, and what would be affected if it changed. Application context is especially important. A policy decision is easier to trust when the reviewer can see which service uses the connection, who owns it, whether real traffic has been observed, what risk or compliance gap is attached, and which ticket created the access in the first place. Governed change workflows matter as much as visibility. A strong approach should support request intake, risk analysis, approval routing, implementation checks, validation, exception handling, and evidence preservation. It should also help teams prioritize stale, risky, broad, or unclear access before routine cleanup work consumes the review queue. For executives, the value is operating consistency. For practitioners, it is less time piecing together facts from separate consoles and tickets. For compliance teams, it is a clearer audit story when someone asks why access was approved and whether it still belongs there. Schedule a Demo How AlgoSec Horizon supports application-centric policy governance This is where a platform view matters. Cloud network security policy management is not only a cloud console problem or a firewall operations problem. It is a governance problem that depends on application context, security policy visibility, risk analysis, change control, and compliance-ready evidence. AlgoSec Horizon helps enterprise teams connect that context across complex hybrid environments. The platform supports application-centric policy governance by helping teams understand connectivity, assess policy risk, manage changes with governance, and preserve evidence for audit readiness. Specialized Horizon modules Relevant Horizon modules, including Horizon Security Analyzer and Horizon ACE, support specific parts of the platform workflow for security analysis and cloud policy management. The broader value comes from keeping those activities tied to applications, owners, approvals, and risk context instead of treating policies as isolated rules. Schedule a Demo Frequently asked questions What is cloud network security policy management? It is the practice of governing network access rules across cloud-native controls, cloud firewalls, and traditional firewalls. It connects policy inventory, application dependencies, risk, change workflows, and audit evidence so teams can manage access consistently across hybrid environments. How are cloud security groups different from firewall rules? Cloud security groups are typically attached to cloud resources such as instances, interfaces, or workloads and often use cloud-specific evaluation behavior. Traditional firewall rules usually sit at network boundaries or segmentation points, such as data center, perimeter, or zone-based firewalls. Can one policy model work across cloud and data center environments? One intent model can guide governance, but the controls still need to be translated by environment. The same business requirement may become different configurations in AWS, Azure, Google Cloud, and a data center firewall. How often should hybrid cloud and firewall policies be reviewed? Review cadence should depend on change velocity, risk, and compliance requirements. High-risk, internet-facing, privileged, or migration-related access usually needs more frequent review than stable low-risk access. How does policy management support audit readiness? Policy management supports audit readiness by preserving the evidence behind access decisions, including the request, owner, approval, risk review, implementation record, validation, exception history, and recertification status. Schedule a Demo See how AlgoSec Horizon can help Schedule a demo to see how AlgoSec Horizon helps security teams gain application-centric visibility, manage policy changes with governance, and support audit readiness across hybrid environments. Schedule a Demo Select a size Cloud network security policy management: How to manage policies across hybrid cloud, data centers, and firewalls What is cloud network security policy management? Why hybrid policy management becomes fragmented The controls teams need to manage together A practical workflow for managing policies across environments Common mistakes to avoid What to look for in a cloud network security policy management platform How AlgoSec Horizon supports application-centric policy governance Frequently asked questions See how AlgoSec Horizon can help Get the latest insights from the experts Choose a better way to manage your network

Migrate policies to Cisco ACI with AlgoSec Download PDF Download PDF Add a Title Add a Title Add a Title Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

Secure your cloud environment with just 5 pillars Learn how Prevasio CNAPP’s innovative features and robust architecture offers a comprehensive defense mechanism that goes beyond traditional security measures Webinars 5 Pillars for advanced cloud security In this webinar you’ll discover how Prevasio CNAPP’s cutting-edge features and resilient architecture redefine cloud security, providing a comprehensive defense mechanism that transcends conventional security measures. Gain a deep understanding of the innovative strategies and advanced technologies that make Prevasio CNAPP an indispensable ally in safeguarding your critical data and applications. June 13, 2023 Jacqueline Basil Product Marketing Manager Relevant resources Cloud migrations made simpler: Safe, Secure and Successful Migrations Keep Reading AlgoSec Cloud - Cloud security policy and configuration management made simple Read Document 6 best practices to stay secure in the hybrid cloud Read Document Choose a better way to manage your network Choose a better way to manage your network Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

The new product version release provides extended multi-cloud hybrid network visibility, reduces risk exposure and addresses new compliance regulations in a unified platform AlgoSec Security Management solution A33.10 delivers new compliance reporting and precise discovery of application connectivity The new product version release provides extended multi-cloud hybrid network visibility, reduces risk exposure and addresses new compliance regulations in a unified platform May 20, 2025 Speak to one of our experts RIDGEFIELD PARK, NJ, May 20, 2025 – Global cybersecurity leader AlgoSec has launched its new Security Management solution version A33.10, as a part of its AlgoSec Horizon platform. The new release provides better visibility across multi-cloud hybrid network environments, prioritizes risks more easily, reduces compliance effort and cuts down on manual processes by automating policy changes. As network environments grow more distributed, visibility becomes harder to maintain. The 2025 State of Network Security Report found that 71% of security teams struggle with visibility, which is delaying threat detection and response. Without comprehensive network visibility, security teams lack a clear understanding of application behavior to protect, detect, and prevent vulnerabilities. “AlgoSec is committed to updating its products to solve everyday problems that security teams face,” said Eran Shiff , VP Product of AlgoSec. “The A33.10 release ensures that our customers have clear and unified visibility into their complex hybrid network environment to reduce manual processes and ensure proper compliance reporting.” Highlights from the AlgoSec Horizon product update include: ● Visibility continues at the application level. Application security management is now faster and smarter with AlgoSec Horizon Security Analyzer and AlgoSec ACE ’s cloud application discovery as a datasource, allowing the creation of an application library fast. ● Security and compliance go hand in hand. To prepare security teams for audits and identify risks earlier, the new update includes a dedicated DORA and SOC2 compliance reporting, as well as built-in MITRE ATT&CK mapping. ● Streamlined application traffic view. This release introduces early availability support for AWS Load Balancer and Cisco Catalyst SD-WAN (Viptela), helping teams clearly see how traffic traverses across hybrid infrastructure and make more informed decisions. To learn more about the new A33.10 product release, click here . About AlgoSec AlgoSec, a global cybersecurity leader, empowers organizations to securely accelerate application delivery up to 10 times faster by automating application connectivity and security policy across the hybrid network environment. With two decades of expertise securing hybrid networks, over 2200 of the world's most complex organizations trust AlgoSec to help secure their most critical workloads. AlgoSec Horizon platform utilizes advanced AI capabilities, enabling users to automatically discover and identify their business applications across multi-clouds, and remediate risks more effectively. It serves as a single source for visibility into security and compliance issues across the hybrid network environment, to ensure ongoing adherence to internet security standards, industry, and internal regulations. Additionally, organizations can leverage intelligent change automation to streamline security change processes, thus improving security and agility. Learn how AlgoSec enables application owners, information security experts, SecOps and cloud security teams to deploy business applications faster while maintaining security at www.algosec.com . MEDIA CONTACT: Megan Davis Alloy, on behalf of AlgoSec [email protected]

Protect and manage hybrid network environments with effective security strategies, ensuring seamless integration, visibility, and compliance across diverse infrastructures. Securing & managing hybrid network security ---- ------- Schedule a Demo Select a size ----- Get the latest insights from the experts Choose a better way to manage your network

Gain in-depth application visibility with AlgoSec Horizon AppViz for Horizon Security Analyzer. Optimize security policies and uncover application risks across your network. AlgoSec Horizon AppViz – Application visibility for AlgoSec Horizon Security Analyzer ---- ------- Schedule a Demo Select a size ----- Get the latest insights from the experts Choose a better way to manage your network

Get your application discovery and dependency mapping questions answered. Find clear explanations, best practices, and learn how to improve your understanding of your IT landscape. Application Discovery & Dependency Mapping Explained (FAQs) Introduction A network is the sum of its components, and if you want to ensure its functioning at the highest level, you need to be able to pinpoint every app that exists inside it. However, when the average company has 254 SaaS apps, identifying all the apps and dependencies that exist throughout an on-premise or cloud environment is easier said than done. Organizations cannot afford to rely on manual IP scanning to catalog or inventory each app their employees use every day; they need an AI-powered, automated, and scalable application discovery process. In this post we are going to examine what application discovery is, and how an automated dependency mapping tool can help. Schedule a Demo What is application discovery? Application discovery is the process of identifying and creating an inventory of the apps installed and used throughout an environment. This not only includes apps used within on-premise servers, but also those in the cloud, in containers, and even on employees’ personal devices. Discovering applications is essential for IT administrators because it helps to set out a framework they can use to navigate the network and understand how different elements fit together. It also enables security teams to manage the performance and security of the business apps used by the organization. Schedule a Demo What is a dependency mapping tool? A dependency mapping tool is essentially a tool that automatically maps apps and dependencies. A typical dependency mapping tool automates the discovery of applications within a network and provides a visual map to which an IT administrator can refer. Dependency mapping tools are a popular choice among IT teams because manually identifying and inventorying apps is a time-consuming process. Schedule a Demo Key benefits of application dependency mapping Taking the time to map application dependencies, or investing in a tool that automates the process, pays dividends because it provides administrators with a heightened understanding of their organization’s IT environment. Greater visibility over how apps connect to each other reduces the amount of time it takes to conduct troubleshooting and root cause analysis, which means that disruptions can be resolved faster, limiting the overall operational impact of downtime. Dependency mapping also enhances change management, giving administrators the ability to identify the impact that changing the topology or composition of the network will have on critical services. At the same time, better knowledge of the IT environment makes it easier to spot inefficiencies and redundancies, giving insights into more cost-effective ways of structuring the network and decreasing resource consumption. As an added bonus, having a complete understanding of application topology decreases the risk of vulnerabilities in the network, and reduces the likelihood of data leakage and intrusions from unauthorized third parties. Organizations interested in mapping application dependencies at scale would be well-advised to incorporate an application dependency mapping tool so they do not have to manually poll apps from scratch. Schedule a Demo Application discovery in cloud environments AlgoSec AlgoSec is the industry-leading AI-powered application and connectivity management solution for mapping apps, security policies, and connectivity flows across on-premise, hybrid, and multi-cloud environments. As a solution, it is designed to enable network security operations teams to map and understand app and connectivity flows through their organization. This top-down, topological perspective allows users to identify business risks and remediate them ASAP. For example, an administrator can use the platform to identify obsolete traffic that could serve as a potential entry point for malicious traffic. At a high level, application discovery not only helps administrators keep up with topology changes in the network and reduce the risk of downtime, it also provides the visibility needed to simplify the management of firewall and SSL configurations. Features Discovery of applications and connectivity flows Real-time map of app connectivity requirements Impact assessment of topology changes on application connectivity , security and compliance Complete easy-to-use workflows for streamlining migration to a new data center or cloud environment Zero-touch change management and access rule recertification Use cases Create a real-time map of applications and connectivity flows to outline network topology. Use workflows to support users who migrate apps as part of the data center migration process. Before migration, assess and predict the impact of topology changes on application connectivity, performance and security. Automatically configure application security policies post-migration. Amazon Web Services (AWS) and the AWS application discovery service AWS application discovery service is a common choice for migrating apps to an AWS environment. The AWS discovery service can automatically discover on-premise applications, and integrates with AWS Migration Hub to help migrate multiple applications at the same time. While this approach is useful for identifying applications in on-premise environments, unlike AlgoSec, it does not offer deep visibility into connectivity flows. It also offers limited support for cloud migration, lacking automated change management capabilities and migration workflows. Features The AWS application discovery service is designed to enable organizations to identify applications across AWS-powered cloud environments. The service includes the following features: Encrypt data in transit and at rest Create a snapshot of your on-premise application inventory Integrate discovery data with other AWS services, such as AWS Migration Hub and SMS Plan migrations for servers that share applications Connect applications to servers Group servers to migrate Mix agentless and agent-based approaches Use cases The main use case for AWS Application Discovery is discovering and creating an inventory of on-premise Information you can gather includes hostnames, IP addresses, MAC addresses and more. Map connections between applications and servers to create a visual representation of your network environment. Ingest utilization data to plan for your migration to the AWS Migration Hub. Microsoft Azure Migrate: Discovery and assessment tool One of the next biggest alternatives to the AWS application discovery service is the Microsoft Azure Migrate: Discovery and assessment tool. This solution enables users to automatically create an inventory of on-premise databases software, web apps, and SQL or AWS server instances. The Microsoft Azure Migrate: Discovery and assessment tool also integrates with Azure Monitor ’s Application Insight, an application monitoring solution. Oracle Cloud Infrastructure Oracle Cloud also offers its own migration tool designed to migrate on-premise applications and virtual machines from on-premise environments to Oracle Cloud Infrastructure using automated migration and provisioning. Oracle Cloud’s migration tool also offers templates, workflow automation and connectors for popular workloads including SQL Server, MySQL, Java, etc. Like Azure, Oracle Cloud also offers Application performance Monitoring integration. Schedule a Demo Other cloud providers and SaaS solutions Besides the top three cloud vendors, there are a number of other cloud security and SaaS-vendors offering application discovery capabilities. Some of these are listed below: Datadog Feature summary: Automated application and dependency mapping in real-time, alerts, latency graphs, and performance anomaly detection. Pros and cons: Rapid app and dependency mapping but beyond that lacks functionality for supporting cloud migrations. ManageEngine applications manager Feature summary: Application Discovery and Dependency Mapping (ADDM) with IP range application discovery, scheduled discoveries, scan summary reports, and a dependency map view. Pros and cons: IP range based discovery offers a broad view of apps and dependencies but does not offer migration workflows and change management capabilities. SolarWinds server & application monitor Feature summary: Polling to create application and dependency maps, tracking the response time of services, creating custom alerts for network latency, packet loss, and uptime monitoring. Pros and cons: Designed for monitoring application performance in on-premise environments, but it too lacks migration support. Schedule a Demo Application discovery in on-premises environments One of the main challenges that organizations face when trying to discover applications in on-premise environments is reliance on outdated legacy monitoring tools. Manually discovering and mapping applications is inefficient, and offers limited visibility over configuration data and metrics across the environment. Application discovery tools such as AlgoSec’s tools enable security teams to discover application dependencies and connections throughout the environment that could easily be overlooked by relying on manual approaches alone. Automation also opens the door for an organization to leverage virtualization technologies from providers like VMware and Hyper-V, which unlock new cloud-native capabilities that cannot necessarily be replicated on-premises. Schedule a Demo FAQs How does AlgoSec help with application discovery and asset management? AlgoSec can help you to discover, identify, and map applications across your on-premise and cloud environments in real-time using AI, so you can keep an up-to-date perspective of your entire network. How does AlgoSec help optimize traffic flows and improve firewall performance? Deploying AlgoSec enables an organization to scan traffic flows and match them to applications within the environment. Once you discovered traffic flows, you can start to automatically optimize application flows and the maximum number of flows per application in order to optimize your firewall throughput and performance for end users. How does AlgoSec help enforce security and compliance across the data center? Increased transparency of application, traffic and firewall flows makes it easier for IT security teams to assess the effectiveness of security policies in the environment, and creates an audit trail that can be used to manage potential compliance violations. Enhanced visibility makes it easier to maintain compliance and to ensure that security controls are effective at protecting your critical data assets from compromise or misuse. For example, administrators can automatically identify compliance gaps and generate compliance reports to document the state of firewalls and surrounding infrastructure to comply with PCI, HIPAA, SOX, and NERC. How does AlgoSec help with business continuity and disaster recovery? AlgoSec helps your organization to maintain business continuity not only through proactive network security policy management, but also by simplifying the process of migrating application connectivity flows and firewall policies to the cloud and ensuring compliance. Migrating your apps and data to a secondary site ensures that if your primary site is affected by a power outage or natural disaster, you will still be able to access critical information. Furthermore, according to an EMA survey, network security policy management also enhances business continuity by helping organizations to enforce more consistent security policies, conduct more proactive disaster recovery testing, and limit the number of change-related outages. How does AlgoSec help with data center migration? AlgoSec can help you to migrate your data center by discovering and mapping applications and connectivity flows, and connecting them to the relevant policies. Once these are discovered, the solution can migrate them to a new on-premise installation or cloud platform, while automatically identifying and removing obsolete and redundant firewall rules. This reduces the amount of overall manual processes associated with the migration. How does AlgoSec help with cloud cost optimization? AlgoSec’s application discovery and mapping capabilities help your organization to optimize costs in the cloud by giving you a reference point to conduct application performance monitoring and ensure that your cloud bandwidth is used efficiently. This ensures that you are getting the maximum throughput from your network infrastructure and are not being held back by outages or other application performance issues. What are ADDM solutions and their advantages? Application Discovery and Dependency Mapping (ADDM) is a category of software solutions that can map applications and dependencies to help human users understand how they connect together and interact. ADDM solutions are a popular choice for IT administrators because they enable users to identify and map dependencies automatically rather than spending a substantial amount of time locating them manually. How does application performance monitoring work? Application performance monitoring is where an organization monitors performance metrics from applications located throughout their environment. Monitoring application performance helps to generate insights into how to optimize system availability, performance and response time. It also helps to ensure that end users enjoy a solid user experience with minimal downtime. What are some common application discovery methods? There are a number of common application discovery methods that organizations can deploy. These include: Sweep and poll – A technique for discovering IT assets whereby a system pings IP addresses and identifies the devices that issue a response. Network monitoring – Monitoring real-time packet information to generate data on application dependencies. This can be done at the packet level by capturing packets or at the flow level with NetFlow. Agent on Server – A process for identifying applications that uses a software agent deployed to a server to conduct real-time monitoring of incoming and outgoing traffic in order to map dependencies. Orchestration-Level Discovery – Where an organization uses an orchestration platform like AlgoSec to discover applications and dependencies automatically without having to deploy agents to servers. What is the role of DevOps in application discovery? Application discovery plays an important role in the DevOps process because it enables development teams to work toward automated app deployment. Automating the discovery of apps and connectivity flows means that users do not need coding knowledge to understand the environment. Increased visibility also supports a DevSecOps strategy, offering security teams greater transparency over application components. For example, a security analyst can view apps and connected dependencies and get a clear perspective of the entire attack surface and potential vulnerabilities a hacker could exploit. What is the role of application discovery in cloud migration? Discovering applications and dependencies helps you to fast-track your cloud migration by identifying what components you need to move and allowing you to phase the deployment in steps. Schedule a Demo Take control of your network Gaining visibility over applications in your environment is a critical step on your journey toward enhancing your business agility and continuity and minimizing downtime. A better understanding of app topology helps administrators find risks and remediate them quickly to ensure ongoing compliance. If you cannot see how effectively your applications are being delivered, or how they perform, then there is no way to consistently optimize performance or enforce security policies. While manually developing an inventory of apps and dependencies is a time-consuming process, the AlgoSec platform can completely eliminate the need for this by discovering apps in real-time so you can see how these components connect to each other on-premise, and across the private or public cloud. Real-time visibility over apps gives you everything you need to manage performance, risk, and compliance challenges at enterprise pace. Schedule a Demo Select a size Introduction What is application discovery? What is a dependency mapping tool? Key benefits of application dependency mapping Application discovery in cloud environments Other cloud providers and SaaS solutions Application discovery in on-premises environments FAQs Take control of your network Get the latest insights from the experts Use these six best practices to simplify compliance and risk mitigation with the AlgoSec platform White paper Learn how AlgoSec can help you pass PCI-DSS Audits and ensure Solution overview Learn how AlgoSec can help you pass PCI-DSS Audits and ensure Solution overview Choose a better way to manage your network

Explore Algosec's customer success stories to see how organizations worldwide improve security, compliance, and efficiency with our solutions. TECHCOMBANK SAVES TIME AND RESOURCES WITH SIMPLIFIED FIREWALL POLICY MANAGEMENT Organization Techcombank Industry Financial Services Headquarters Hanoi, Vietnam Download case study Share Customer
success stories "AlgoSec enables us to identify ways to consolidate and optimize rules and perform deep risk analysis and automate workflows in ways that other products cannot match" Background Techcombank is one of the largest joint stock commercial banks in Vietnam. With more than 300 branches and 7,000 staff, Techcombank provides deposit products, loans, leasing, cash management and other services to more than 3.3 million individual customers and 45,000 corporate clients. Challenge Tens of firewall devices and hundreds of routers and switches protect the financial data of Techcombank’s customers, as well as the operations of hundreds of branches throughout Vietnam. As a bank, all security policies and firewall configurations must comply with PCI-DSS and ISO27001 standards. Ensuring compliance, however, created ongoing headaches for the IT security team. “With equipment from many different vendors, even simple policy audits were challenging tasks,” says Mr. Van Anh Tuan, CSO of Techcombank. “As a result of the diversity of products and lack of visibility, it was difficult for us to monitor changes to rule configurations in real time in order to maintain internal security compliance as well as PCI compliance.” “Cleaning up and fine tuning firewall policies was a particularly complex process, which made it difficult to respond quickly to the changing needs of our business applications,” adds Mr. Tuan. “We wanted a way to optimize and consolidate rules across all of our firewalls, regardless of manufacturer, and completely automate the end-to-end workflow for firewall rule change management.” In addition, Techcombank sought a solution that would simplify the process of conducting risk analysis, evaluating PCI compliance and identifying the necessary steps for remediation. Solution Following an in-depth competitive evaluation, Techcombank selected AlgoSec’s Security Management solution. “AlgoSec met many of our key requirements, better than its competitors in our evaluation,” Mr. Tuan notes. Techcombank particularly liked AlgoSec’s superior security policy analysis and ability to make actionable recommendations with a high level of accuracy. “AlgoSec will enable us to identify ways to consolidate and optimize rules, perform deep risk analysis, automate workflows and ensure compliance in ways that other products cannot match,” says Mr. Tuan. Techcombank’s IT team wants to be able to quickly identify security policy risks and see what specific steps they need to take for remediation. The bank uses AlgoSec to identify overly permissive firewall rules based on actual use as well as duplicate, unused and expired rules and objects. This information gives Techcombank the data they need to close off potential access points and help prevent attacks. AlgoSec also provides clear, detailed recommendations on how to best reorder rules for optimal firewall performance. In addition, AlgoSec validates firewall policy and rules against regulations such as PCI, as well as industry best practices and customized corporate policies to uncover and prioritize risks and track trends over time. For Mr. Tuan, one of the most valuable benefits of AlgoSec is the increased visibility into security policies across the full range of devices. “Now we can easily monitor our firewall operations and quickly detect any mistakes or non-compliant changes made. These operations used to be invisible to me.” Mr. Tuan comments. The AlgoSec deployment process went very smoothly for Techcombank. “Our team received training from AlgoSec and their partners here in Vietnam and we were fully utilizing the product almost immediately. Post-implementation support has addressed every issue quickly and enabled us to take advantage of all aspects of the product in order to optimize our firewall rules and improve our security posture even faster than we anticipated,” Mr. Tuan adds. Since implementation, AlgoSec has enabled Techcombank’s IT team to “greatly reduce our time and resources when complying with internal policies and PCI standards, and when monitoring changes in rules,” says Mr. Tuan. “We are very happy with the improved security and visibility provided by AlgoSec and will continue to use and exploit more AlgoSec features and add licenses,” he concluded. Schedule time with one of our experts