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- AlgoSec | 16 Best Practices for Cloud Security (Complete List for 2023)
Ensuring your cloud environment is secure and compliant with industry practices is critical. Cloud security best practices will help you protect your organization’s data and applications. In the process, reduce the risks of security compromise. This post will walk you through the best practices for cloud security. We’ll also share the top cloud security risks and how to mitigate them. The top 5 security risks to cloud computing right now Social engineering. Social engineering attackers use... Cloud Security 16 Best Practices for Cloud Security (Complete List for 2023) 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 4/27/23 Published Ensuring your cloud environment is secure and compliant with industry practices is critical. Cloud security best practices will help you protect your organization’s data and applications. In the process, reduce the risks of security compromise. This post will walk you through the best practices for cloud security. We’ll also share the top cloud security risks and how to mitigate them. The top 5 security risks to cloud computing right now Social engineering. Social engineering attackers use psychological deception to manipulate users into providing sensitive information. These deception tactics may include phishing, pretexting, or baiting. Account compromise. An account compromise occurs when an attacker obtains unauthorized entry to it. A hacker can access your account when you use weak passwords or steal your credentials. They may introduce malware or steal your files once they access your account. Shadow IT. This security risk occurs when your employee uses hardware or software that the IT department does not approve. It may result in compliance problems, data loss, and a higher risk of cyberattacks. Insider activity (unintentional or malicious) . Insider activity occurs when approved users damage your company’s data or network. These users can either do it purposefully or accidentally on-premises. For example, you may disclose private information unintentionally or steal data on purpose. Insecure APIs . APIs make communication easier for cloud services and other software applications. Insecure APIs can allow unauthorized access to sensitive data. This could, in turn, lead to malicious attacks, such as data theft. The attackers could also do illegal data alteration from data centers. 16 best practices for cloud security Establish zero-trust architecture Use role-based access control Monitor suspicious activity Monitor privileged users Encrypt data in motion and at rest Investigate shadow IT applications Protect Endpoints Educate employees about threats Create and enforce a password policy Implement multi-factor authentication Understand the shared responsibility model m Audit IaaS configurations Review SLAs and contracts. Maintaining logs and monitoring Use vulnerability and penetration testing Consider intrusion detection and prevention One of the most critical areas of cloud security is identity and access management. We will also discuss sensitive data protection, social engineering attacks, cloud deployments, and incident response. Best practices for managing access. Access control is an integral part of cloud network security. It restricts who can access cloud services, what they can do with the data, and when. Here are some of the best practices for managing access: Establish zero-trust architecture Zero-trust architecture is a security concept that treats all traffic in or out of your network as untrusted. It considers that every request may be malicious. So you must verify your request, even if it originates from within the network. You can apply zero-trust architecture by dividing the system into smaller, more secure cloud zones. And then enforce strict access policies for each zone. This best practice will help you understand who accesses your cloud services. You’ll also know what they do with your data resources. Use role-based access control Role-based access control allows you to assign users different access rights based on their roles. This method lessens the chances of giving people unauthorized access privileges. It also simplifies the administration of access rights. RBAC also simplifies upholding the tenet of least privilege. It restricts user permission to only the resources they need to do their jobs. This way, users don’t have excessive access that attackers could exploit. Monitor suspicious activity Monitoring suspicious behavior involves tracking and analyzing user activity in a cloud environment. It helps identify odd activities, such as user accounts accessing unauthorized data. You should also set up alerts for suspicious activities. Adopting this security strategy will help you spot security incidents early and react quickly. This best practice will help you improve your cloud functionality. It will also protect your sensitive data from unwanted access or malicious activities. Monitor privileged users Privileged users have high-level access rights and permissions. They can create, delete and modify data in the cloud environment. You should consider these users as a huge cybersecurity risk. Your privileged users can cause significant harm if they get compromised. Closely watch these users’ access rights and activity. By doing so, you’ll easily spot misuse of permissions and avert data breaches. You can also use privileged access management systems (PAS) to control access to privileged accounts. Enforcing security certifications also helps privileged users avoid making grievous mistakes. They’ll learn the actions that can pose a cybersecurity threat to their organization. Best practices for protecting sensitive data Safeguarding sensitive data is critical for organizational security. You need security measures to secure the cloud data you store, process and transfer. Encrypt data in motion and at rest Encrypting cloud data in transit and at rest is critical to data security. When you encrypt your data, it transforms into an unreadable format. So only authorized users with a decryption key can make it readable again. This way, cybercriminals will not access your sensitive data. To protect your cloud data in transit, use encryption protocols like TSL and SSL. And for cloud data at rest, use powerful encryption algorithms like AES and RSA. Investigate shadow IT applications Shadow IT apps can present a security risk as they often lack the same level of security as sanctioned apps. Investigating Shadow IT apps helps ensure they do not pose any security risks. For example, some staff may use cloud storage services that are insecure. If you realize that, you can propose sanctioned cloud storage software as a service apps like Dropbox and Google Drive. You can also use software asset management tools to monitor the apps in your environment. A good example is the SaaS solution known as Flexera software asset management. Protect Endpoints Endpoints are essential in maintaining a secure cloud infrastructure. They can cause a huge security issue if you don’t monitor them closely. Computers and smartphones are often the weakest points in your security strategy. So, hackers target them the most because of their high vulnerability. Cybercriminals may then introduce ransomware into your cloud through these endpoints. To protect your endpoints, employ security solutions like antimalware and antivirus software. You could also use endpoint detection and response systems (EDRs) to protect your endpoints from threats. EDRs use firewalls as a barrier between the endpoints and the outside world. These firewalls will monitor and block suspicious traffic from accessing your endpoints in real time. Best practices for preventing social engineering attacks Use these best practices to protect your organization from social engineering attacks: Educate employees about threats Educating workers on the techniques that attackers use helps create a security-minded culture. Your employees will be able to detect malicious attempts and respond appropriately. You can train them on deception techniques such as phishing, baiting, and pretexting. Also, make it your policy that every employee takes security certifications on a regular basis. You can tell them to report anything they suspect to be a security threat to the IT department. They’ll be assured that your security team can handle any security issues they may face. Create and enforce a password policy A password policy helps ensure your employees’ passwords are secure and regularly updated. It also sets up rules everyone must follow when creating and using passwords. Some rules in your password policy can be: Setting a minimum password length when creating passwords. No reusing of passwords. The frequency with which to change passwords. The characteristics of a strong password. A strong password policy safeguards your cloud-based operations from social engineering assaults. Implement multi-factor authentication Multi-factor authentication adds an extra layer of security to protect the users’ accounts. This security tool requires users to provide extra credentials to access their accounts. For example, you may need a one-time code sent via text or an authentication app to log into your account. This extra layer of protection reduces the chances of unauthorized access to accounts. Hackers will find it hard to steal sensitive data even if they have your password. In the process, you’ll prevent data loss from your cloud platform. Leverage the multifactor authentication options that public cloud providers usually offer. For example, Amazon Web Services (AWS) offers multifactor authentication for its users. Best practices for securing your cloud deployments. Your cloud deployments are as secure or insecure as the processes you use to manage them. This is especially true for multi-cloud environments where the risks are even higher. Use these best practices to secure your cloud deployments: Understand the shared responsibility model The shared responsibility model is a concept that drives cloud best practices. It states that cloud providers and customers are responsible for different security aspects. Cloud service providers are responsible for the underlying infrastructure and its security. On the other hand, customers are responsible for their apps, data, and settings in the cloud. Familiarize yourself with the Amazon Web Services (AWS) or Microsoft Azure guides. This ensures you’re aware of the roles of your cloud service provider. Understanding the shared security model will help safeguard your cloud platform. Audit IaaS configurations Cloud deployments of workloads are prone to misconfigurations and vulnerabilities. So it’s important to regularly audit your Infrastructure as a Service (IaaS) configurations. Check that all IaaS configurations align with industry best practices and security standards. Regularly check for weaknesses, misconfigurations, and other security vulnerabilities. This best practice is critical if you are using a multi-cloud environment. The level of complexity arises, which in turn increases the risk of attacks. Auditing IaaS configurations will secure your valuable cloud data and assets from potential cyberattacks. Review SLAs and contracts. Reviewing SLAs and contracts is a crucial best practice for safeguarding cloud installations. It ensures that all parties know their respective security roles. You should review SLAs to ensure cloud deployments meet your needs while complying with industry standards. Examining the contracts also helps you identify potential risks, like data breaches. This way, you prepare elaborate incident responses. Best practices for incident response Cloud environments are dynamic and can quickly become vulnerable to cyberattacks. So your security/DevOps team should design incident response plans to resolve potential security incidents. Here are some of the best practices for incident response: Maintaining logs and monitoring Maintaining logs and monitoring helps you spot potential cybersecurity threats in real time. In the process, enable your security to respond quickly using the right security controls. Maintaining logs involves tracking all the activities that occur in a system. In your cloud environment, it can record login attempts, errors, and other network activity. Monitoring your network activity lets you easily spot a breach’s origin and damage severity. Use vulnerability and penetration testing Vulnerability assessment and penetration testing can help you identify weaknesses in your cloud. These tests mimic attacks on a company’s cloud infrastructure to find vulnerabilities that cybercriminals may exploit. Through automation, these security controls can assist in locating security flaws, incorrect setups, and other weaknesses early. You can then measure the adequacy of your security policies to address these flaws. This will let you know if your cloud security can withstand real-life incidents. Vulnerability and penetration testing is a crucial best practice for handling incidents in cloud security. It may dramatically improve your organization’s overall security posture. Consider intrusion detection and prevention Intrusion detection and prevention systems (IDPS) are essential to a robust security strategy. Intrusion detection involves identifying potential cybersecurity threats in your network. Through automation, intrusion detection tools monitor your network traffic in real-time for suspicious activity. Intrusion prevention systems (IPS) go further by actively blocking malicious activity. These security tools can help prevent any harm by malware attacks in your cloud environment. The bottom line on cloud security. You must enforce best practices to keep your cloud environment secure. This way, you’ll lower the risks of cyberattacks which can have catastrophic results. A CSPM tool like Horizon ACE can help you enforce your cloud security best practices in many ways. It can provide visibility into your cloud environment and help you identify misconfigurations. Horizon ACE can also allow you to set up automated security policies to apply across the entire cloud environment. This ensures your cloud users abide by all your best practices for cloud security. So if you’re looking for a CSPM tool to help keep your cloud environment safe, try Horizon ACE today! 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
- AlgoSec | Best Practices for Docker Containers’ Security
Containers aren’t VMs. They’re a great lightweight deployment solution, but they’re only as secure as you make them. You need to keep... Cloud Security Best Practices for Docker Containers’ Security 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 7/27/20 Published Containers aren’t VMs. They’re a great lightweight deployment solution, but they’re only as secure as you make them. You need to keep them in processes with limited capabilities, granting them only what they need. A process that has unlimited power, or one that can escalate its way there, can do unlimited damage if it’s compromised. Sound security practices will reduce the consequences of security incidents. Don’t grant absolute power It may seem too obvious to say, but never run a container as root. If your application must have quasi-root privileges, you can place the account within a user namespace , making it the root for the container but not the host machine. Also, don’t use the –privileged flag unless there’s a compelling reason. It’s one thing if the container does direct I/O on an embedded system, but normal application software should never need it. Containers should run under an owner that has access to its own resources but not to other accounts. If a third-party image requires the –privileged flag without an obvious reason, there’s a good chance it’s badly designed if not malicious. Avoid running a Docker socket in a container. It gives the process access to the Docker daemon, which is a useful but dangerous power. It includes the ability to control other containers, images, and volumes. If this kind of capability is necessary, it’s better to go through a proper API. Grant privileges as needed Applying the principle of least privilege minimizes container risks. A good approach is to drop all capabilities using –cap-drop=all and then enabling the ones that are needed with –cap-add . Each capability expands the attack surface between the container and its environment. Many workloads don’t need any added capabilities at all. The no-new-privileges flag under security-opt is another way to protect against privilege escalation. Dropping all capabilities does the same thing, so you don’t need both. Limiting the system resources which a container guards not only against runaway processes but against container-based DoS attacks. Beware of dubious images When possible, use official Docker images. They’re well documented and tested for security issues, and images are available for many common situations. Be wary of backdoored images . Someone put 17 malicious container images on Docker Hub, and they were downloaded over 5 million times before being removed. Some of them engaged in cryptomining on their hosts, wasting many processor cycles while generating $90,000 in Monero for the images’ creator. Other images may leak confidential data to an outside server. Many containerized environments are undoubtedly still running them. You should treat Docker images with the same caution you’d treat code libraries, CMS plugins, and other supporting software, Use only code that comes from a trustworthy source and is delivered through a reputable channel. Other considerations It should go without saying, but you need to rebuild your images regularly. The libraries and dependencies that they use get security patches from time to time, and you need to make sure your containers have them applied. On Linux, you can gain additional protection from security profiles such as secomp and AppArmor . These modules, used with the security-opt settings, let you set policies that will be automatically enforced. Container security presents its distinctive challenges. Experience with traditional application security helps in many ways, but Docker requires an additional set of practices. Still, the basics apply as much as ever. Start with trusted code. Don’t give it the power to do more than it needs to do. Use the available OS and Docker features for enhancing security. Monitor your systems for anomalous behavior. If you take all these steps, you’ll ward off the large majority of threats to your Docker environment. 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
- 솔루션 | Algosec
Securely accelerate application delivery by automating application connectivity and security policy across the hybrid network estate. 솔루션 환영합니다! 클라우드 보안 통제 및 사내 구축 방화벽에 대한 네트워크 보안 정책의 관리는 세심한 균형을 요하는 작업입니다. 한편으로 공격 범위(attack surface)라고 불리는 외부 위협에 대한 노출을 최소화하여 리스크를 줄여야 하며, 다른 한편으로는 중요한 비즈니스 애플리케이션에 대한 연결성을 제공함으로써 생산성을 향상시켜야 합니다. 하지만, 네트워크 보안 정책 관리 프로세스는 늘 복잡하고 오류가 많아 시간 소모적이었습 니다. 이제는 더 이상 그럴 필요가 없습니다. AlgoSec은 사내 (On-premise) 및 클라우드 상의 네트워크 보안 정책 관리를 간소화하고 자동화하여 기업의 민첩성과 보안을 강화하고 언제나 규정을 준수하는 환경을 제공합니다. 보안 정책 관리에 대한 독자적인 라이프사이클 접근방식 AlgoSec은 보안 정책 라이프사이클을 전반적으로 관리하여 고객의 비즈니스 애플리케이션에 대한 지속적이며 안전한 연결성을 제공한다는 점에서 독보적입니다. 단일 창을 통해 애플리케이션 연결성 요구사항을 자동으로 검색할 수 있고, 리스크를 사전에 분석하며, 네트워크 보안 변경 계획을 신속하게 수립하여 실행할 수 있으며 방화벽 규칙을 안전하게 제거할 수 있습니다. 아울러, 고객의 이기종 환경 전반에 걸쳐 이 모든 작업이 완벽히 조화를 이루어 자동으로 원활하게 이루어집니다. AlgoSec 솔루션을 이용하면 클라우드, SDN, 사내망 (on-premise)에 걸쳐 네트워크 보안 정책관리를 통합 할수 있습니다 지속적으로 규제를 준수하고, 방화벽 감사 준비에 소요되는 시간과 비용을 현저히 줄일 수 있습니다 신속하고 안전하게 애플리케이션 연결성을 제공하고, 네트워크 관련 가동중단을 방지할 수 있습니다 보안, 네트워크 및 애플리케이션 팀 간의 연계와 DevSecOps를 발전시킵니다 방화벽 변경 관리를 자동화하고 구성 오류를 제거할 수 있습니다 정확한 보안 구성 및 효과적인 네트워크 분할 을 통해 리스크를 줄일 수 있습니다 솔루션 보안 정책 네트워크 분석 더 많은 정보 AlgoSec Firewall Analyzer 보안 정책 변경 자동화 더 많은 정보 AlgoSec FireFlow ROI 계산기 AlgoSec 솔루션 브로슈어 문의하기 Algosec Korea 탁정수 지사장 Phone: +82-10-8994-7121 Email: [email protected] Algosec Korea 정욱 이사 (Sales Engineer) Phone: +82-10-9953-5717 Email: [email protected] 관련 링크 AlgoSec 솔루션 브로슈어 Schedule time with one of our experts
- Cisco and AlgoSec | AlgoSec
AlgoSec simplifies, automates, and orchestrates security policy management for Cisco devices and platforms to accelerate application delivery while ensuring security and continuous compliance across the enterprise Secure application connectivity anywhere on your Cisco environment AlgoSec simplifies, automates, and orchestrates security policy management for Cisco devices and platforms to accelerate application delivery while ensuring security and continuous compliance across the enterprise. Schedule a demo Features of our Cisco integrations Provision application connectivity Securely provision, manage, and decommission application connectivity. AlgoSec maps application requirements to the underlying network/cloud, speeding up delivery, reducing outages, and ensuring security and compliance across hybrid environments. See and understand complex network security policies AlgoSec simplifies security operations by providing visibility and analysis across virtual, cloud, and physical environments. Teams can optimize Cisco firewalls, routers, and SDN solutions for security, compliance, and operational efficiency. Automate security policy changes AlgoSec automates security policy changes and delivers hands-free policy push for Cisco devices. Intelligent workflows save time, reduce manual errors, and minimize risk for operations and security teams. Get the most out of your ACI investment AlgoSec provides unified security policy management across legacy, cloud, WAN, and ACI fabric, with full visibility and automation. It enables zero-touch changes by automating ACI contracts and firewall policies for seamless, end-to-end security management. Micro-segmentation and policy enforcement AlgoSec leverages Cisco Secure Workload and other data sources to discover application flows, generate whitelist policies, and enforce east-west filtering. It ensures consistent end-to-end implementation of micro-segmentation policy across the network for enhanced security. Ease the migration to firepower AlgoSec simplifies firewall migration to Cisco Firepower by automatically mapping, cleaning, and translating rulesets for zero-touch deployment. It also provides what-if risk analysis and detailed documentation of changes to ensure a smooth and secure migration. Cisco and AlgoSec partnership highlights AlgoSec is a Solutions Plus Partner with Cisco Cisco’s Co-Sell Partner of the Year EMEA-2024 Cisco Meraki Marketplace Tech Partner of the Month- November 2024 AlgoSec products can be purchased directly from the Cisco GPL AlgoSec has developed integrations across many Cisco Products including: Watch the latest Cisco and AlgoSec webinar Key Cisco use cases Risk management and audit Cisco ACI Customers can quickly identify and mitigate policy risks while ensuring compliance with regulatory requirements Download > Network segmentation Customers achieve successful network segmentation within Cisco ACI and network security devices with AlgoSec Download > Intelligent automation With AlgoSec, customers achieve 80% reduction in time spent handling policy changes, and 100% reduction with zero-touch automation Download > See how Cisco ACl users benefit from AlgoSec Intelligent Automation for Cisco ACI contracts Policy migration example from VMWare NSX-T distributed firewall policies to Cisco ACI contracts Modernize your network and harness the power of nexus & Cisco ACI with AlgoSec Cisco baseline compliance AlgoSec's optimization of cisco firewall policies Cisco regulatory compliance Resource AlgoSec Security Management Solution for Cisco ACI and Cisco Nexus Dashboard Download the Cisco Solution Overview > Case Study-NCR Download it now > Product video- Policy portability with AlgoSec – enabling migration into CISCO ACI Watch it now > Schedule time with one of our 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 Schedule a call
- State of Network Security 2026
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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