How to Optimize Cloud Vulnerability Management

🔍 From CVEs to Exposure Intelligence -- A Technical Model for Risk-Based Vulnerability Management The traditional CVSS-based approach is no match for today’s attack surfaces. A modern exposure management strategy must integrate telemetry, threat intel, and control-plane signals to defend against adversaries who chain misconfigs, stale privileges, and unpatched services. Here’s a breakdown of key InfoSec risks—and technically grounded remediations: 🔴 Risk #1: CVE overload with no context-aware prioritization 🟢 Remediation: - Implement exploitability filters using threat intelligence feeds (e.g., Exploit-DB, CISA KEV, Mandiant TI). - Use EPSS (Exploit Prediction Scoring System) and MITRE ATT&CK mapping for attacker-centric triage. - Weight vulns by asset criticality using tagging (e.g., public-facing, prod, regulated). 🔴 Risk #2: Fragmented visibility across hybrid/cloud environments 🟢 Remediation: - Aggregate telemetry from EDR (e.g., osquery, Sysmon), CSPM tools, and IAM logs. - Build an exposure graph to visualize relationships between identities, misconfigs, and data stores. - Continuously scan for unknown/rogue assets across on-prem and cloud. 🔴 Risk #3: Configuration drift and unmonitored assets 🟢 Remediation: - Use IaC drift detection (e.g., driftctl, AWS Config) to catch unintended changes. - Enforce compliance-as-code using CIS/NIST baselines with automated remediation pipelines. - Align infrastructure with source-of-truth inventories (CMDB, IaC repos). 🔴 Risk #4: Disconnected workflows between security and IT/DevOps 🟢 Remediation: - Shift security left using tools like Trivy, Checkov, or GitHub Actions in CI/CD. - Pipe exposure insights directly into ITSM platforms (e.g., Jira, ServiceNow). - Use policy-as-code (OPA, Rego) to enforce guardrails without manual approvals. 🔴 Risk #5: Alert noise with no correlation to real risk 🟢 Remediation: - Enrich findings with identity posture (e.g., dormant admin accounts), open ports, and data classification. - Use attack path analysis to correlate and score multi-step exposures. - Prioritize remediation based on blast radius and business impact, not just vuln count. 📌 Exposure management isn’t about more alerts—it’s about graph-driven visibility, risk-aligned prioritization, and automation-first remediation. This isn’t just a shift in tooling—it’s a shift in mindset. The future of InfoSec lies in exposure-centric, not alert-centric defense. 📖 Learn more: 👉 https://lnkd.in/gPJtATGu #InfoSec #CyberSecurity #ExposureManagement #SecurityEngineering #ThreatModeling #CloudSecurity #AttackSurfaceReduction #RiskBasedSecurity #DevSecOps #SecurityArchitecture #BlueTeamOps #MITREATTACK

Nobody Has Solved Vulnerability Management Let's face it - vulnerability management remains unsolved—not for lack of tools or effort, but because the problem is rooted in the reality of complex, ever-evolving IT environments and misaligned priorities. The Root Cause 🚨 Prioritisation Paralysis: Security teams commonly label “everything” as a priority, leading to an unsustainable situation where real threats get lost in the noise. When all vulnerabilities are urgent, none actually are, diluting focus and overloading remediation teams. 🚨 Lack of Standardisation: Without industry-standard ratings, organisations juggle different scoring systems (CVSS, vendor scores, managerial directives), making effective risk prioritisation nearly impossible. 🚨 Silos & Communication Gaps: Security and IT operate in isolation—security wants speed, IT wants stability. This results in missed patches, rushed deployments without proper testing, and unclear accountability. 🚨 Information Blind Spots: Organisations lack full visibility into their attack surface, shadow IT, and contextual risk data. This leads to decisions made in the dark, undermining any best efforts at prioritisation. Why Current Approaches Struggle ⚠️ Overwhelming Volume: Monthly maintenance, zero-day threats, and critical app updates all compete for attention. Most teams fall back on rigid cycles, missing the nuance needed for real-world threats. ⚠️ Manual & Reactive Processes: Reliance on spreadsheets or siloed tools results in a reactive, rather than proactive, approach to patching. Best Practices for Patch Prioritisation To break the cycle, leading practice is moving toward a risk-based approach: 💡 Track-Based Remediation: Assign vulnerabilities to distinct tracks—routine, critical application, or urgent zero-days—and manage each according to risk and business impact. 💡 Continuous Contextual Analysis: Integrate vulnerability intelligence, exploit likelihood, compliance requirements, and business exposure into prioritisation—not just severity scores. 💡 Automation & AI: Use AI for fast analysis of vast data sources, applying predictive models to score risk more accurately. Automate patch testing and deployment to close gaps and improve consistency. 💡 Unified Visibility: Invest in tools that give a comprehensive, context-rich view of your organisation’s true attack surface and current exposures. The Path Forward Nobody has solved vulnerability management because the challenge isn’t just technical—it’s operational, cultural, and contextual. Until organisations bridge silos, clarify ownership, embrace risk-based prioritisation, and utilise advanced automation, vulnerability management will continue to be a juggling act.

"The vulnerability backlog is only the mirror and not the picture." This was the concluding thought of my previous post, where I emphasized the importance of enhancing traditional, reactive Vulnerability Management processes with data-driven root cause analysis practices. By doing so, organizations can enable informed decision-making and prioritize strategic investments more effectively. To highlight the power of data analysis and data visualization in Vulnerability Management (VM), I created a sample report in Power Bi using dummy data that illustrates the Chrome update process on end-user devices. The report correlates typical scanning data with software inventory data, which is commonly accessible through MDM solutions, to provide deeper insights. A typical scan report provides a list of CVEs along with metadata such as affected devices, severity, descriptions, and details like the fixed version. What VM tools often fail to reveal, however, is whether the assumed patching processes are functioning consistently and effectively over time. By correlating scan data with MDM data it becomes quickly apparent that the patch process of Google Chrome has some issues: - 40% of the devices are on N-2 or even older versions. This implies that the update process is not working, given the 3 days patch target. - 2 devices are stuck on an old Chrome version, indicating a local issue. - 36% of the devices successfully updated to the latest version within 2 days. - The Average Exposure Windows looks bad, but putting that number into context clearly surfaces the underlying problems. Although this little demonstration focuses on a specific example, the same approach can be applied in all the domains of VM (endpoint, cloud, servers, AppSec). Adopting this approach has several positive impacts: ✅ Improved security posture. ✅ Better value proposition of the VM program. ✅ Better ROI of the tools by utilizing the data more. ✅ Build reliable patch processes. ✅ Better collaboration with the technical teams. ✅ Enabling leadership to make risk based decisions. ✅ More tailored, meaningful policies. ✅ Setting realistic SLAs and KPIs. ✅ Better job satisfaction by reducing CVE fatigue. ✅ More efficient use of resources. An increasing vulnerability backlog is not something we have to live with. With a little mindset change and smarter use of the data that is already at our disposal we can make significant improvements without onboarding yet another tool. Hope you got inspired! Happy Holidays!🎄🎁 PS: Dear VM Vendors, if you could make better use of the data you already have an create more intuitive UI and/or build easy-to-use APIs, that would be great! That's my professional wish for 2025! 🙂 ❤️ #vulnerabilitymanagement #riskmanagement #cybersecurity #infosecurity

Most vulnerability management programs are just… scanning. And the CEO thinks they’re “covered.” I’ve sat with too many executives who believed: “We scan. We patch. We do a yearly pentest. We’re good.” Then something small turned into something expensive. 🧙🏼♂️This is how you prevent a $3M incident from starting as a $1k misconfiguration. Here’s what a real Vulnerability Management program should look Program Management → You can't manage this without people, they need to be on top of everything going on. → Every risk has an owner, a deadline, and a business decision attached. → Without this, findings sit in dashboards. You need a risk register for anything delayed or accepted. Attack Surface Management → You must look beyond your walls and see your business from their POV → Finds exposed assets you didn’t know were there → If attackers can see it, it’s in scope. You need continuous external discovery, not a once-a-year review. DevSecOps → If you write code, it needs to be tested, safe and not just once pre-production. → Prevents new weaknesses from being built into software before release. → Security checks must be part of dev, not bolted on after launch. Continuous Pentesting → Just like the dashboard lights on your car, they don't just check once a year. → Tests are always running to catch risks before attackers do. → Your world changes. Validation has to keep up, not wait for next year’s report. Red Team → A standard test kicks in the door, this is sneaky sneaky real.  → Simulates a real attacker moving quietly over time to find gaps. → This tests maturity. It tests detection, response, and leadership visibility. Context & Threat Intel → Without context everything is "critical," you want to prioritize to reduce efforts long term. → Focuses on weaknesses attackers are actually using, not just what exists. → Your business is not every business. Pentesting (Point in Time) → You need skilled and creative people to put your protection to the test. → Shows how attackers break in and what damage they can do. → Validate controls and reset assumptions. It’s a snapshot, not a strategy. Patch & Remediation Management → Finding all this issues means nothing if you don't fix them. Lots of people power needed here. → Fixes known weaknesses fast to reduce downtime and breach risk. → Measure time-to-fix, enforce deadlines, escalate delays. Otherwise “critical” becomes normal. Vulnerability Scanning → This is day 1 stuff ignoring this is like leaving your front door open. → Finds known weaknesses across your systems. → Scan consistently across servers, endpoints, cloud, and apps. If you’re a business leader you need to understand:  Vulnerability management is not a security activity. It’s a risk decision system. Most companies won’t mature past scanning. The ones that do outperform in resilience, deal confidence, and audit outcomes. 💾 Save this as your benchmark. 🔁 Repost for other leaders who think scanning equals protection.

From Vulnerability Management to CTEM: Why Security Must Shift from Lists to Outcomes Most vulnerability management programs are doing precisely what they were designed to do. Scan. Score. Ticket. Patch. The problem is that the environment has changed. Security teams are buried in thousands of “critical” findings while attackers exploit a very small number of real paths to impact. CVSS alone cannot tell you which vulnerability leads to customer data loss, financial fraud, or operational disruption. That gap is where breaches happen. Continuous Threat Exposure Management (CTEM) closes this gap by shifting the question from “What is vulnerable?” to “What can actually be exploited to harm the business?” The Shift Through a Practical Lens People: CTEM forces ownership. Every critical exposure has a named owner, escalation path, and risk decision. No owner means permanent exposure. Data: Prioritization becomes contextual. Threat intelligence, asset criticality, internet reachability, and compensating controls matter more than raw CVSS scores. Process: CTEM runs as a continuous cycle: scope, discover, prioritize, validate, mobilize. Security stops sending generic reports and starts delivering evidence-backed actions tied to business outcomes. Technology: Discovery expands beyond servers to identity, SaaS, cloud misconfigurations, OT, and AI systems. Validation tools prove exploitability before remediation is requested. Business: The output is reduced exposure to crown-jewel services, faster remediation of real attack paths, and defensible risk conversations at the board level. CTEM Operationalizes Leading Frameworks Scoping aligns to NIST CSF Identify and CIS Control 1, defining what matters most. Discovery maps to MITRE ATT&CK reconnaissance and CIS Control 2, revealing the complete attack surface. Prioritization leverages NIST CSF Protect and OWASP Risk Rating, focusing on exploitable paths to critical assets. Validation executes MITRE ATT&CK techniques in controlled environments, proving which attack paths succeed. Mobilization drives NIST CSF Respond and Recover through structured workflows, closing validated exposures within defined SLAs. This continuous cycle replaces point-in-time assessments with ongoing validation that frameworks work as intended. Why This Matters Now Adversaries move faster, often with AI-assisted automation. Monthly scans cannot keep up. CTEM enables preemptive defense by focusing resources on the small set of exposures that actually enable attacks. Start small. Pick one scope: external attack surface, identity, or your top revenue application. Prove value. Then expand. Security maturity is not about finding more issues. It is about closing the right ones. #CTEM #ExposureManagement #CybersecurityStrategy #RiskManagement #SecurityLeadership

Vulnerability Management Is Not a Tool — It’s a Discipline and a Culture In today’s threat landscape, attackers move fast… but a mature vulnerability management program moves faster. A strong VM program is one of the core pillars of cyber resilience, bridging security, IT, DevOps, compliance, and leadership under one unified mission: reduce risk before attackers exploit it. Here are the best practices every organization should implement 1. Build a Complete, Real-Time Asset Inventory You cannot protect what you do not know exists. Continuous discovery of servers, endpoints, applications, APIs, containers Classify assets by criticality Maintain visibility over cloud + on-prem + hybrid environments 2. Prioritize Based on Risk, Not Just CVSS Scores Not all vulnerabilities are equal. Use threat intelligence, exploit availability, business impact, and asset sensitivity Focus on vulnerabilities actively leveraged by attackers Map to MITRE ATT&CK to understand exploitation paths 3. Automate Scanning, Detection, and Ticketing Speed reduces exposure windows. Automated scheduled scans Continuous scanning for cloud and CI/CD pipelines Auto-generated remediation tickets with SLAs 4. Integrate VM with SOC, SIEM, and Patch Management Visibility must be end-to-end. Correlate vulnerabilities with real-time attack attempts Align detection rules with unpatched high-risk CVEs Accelerate patching cycles with workflow automation 5. Enforce Strong Patch Management Governance Define patching SLAs by asset criticality (e.g., 48 hours for critical systems) Patch regularly, test carefully Track patch success rates and exceptions 6. Secure the Software Supply Chain Scan dependencies, images, libraries, and IaC templates Enforce SAST/DAST/SCA in CI/CD pipelines Maintain SBOMs for transparency 7. Measure What Matters: KPIs & KRIs Mean Time to Remediate (MTTR) % of assets covered by scanning Vulnerabilities per critical asset SLA compliance rates 8. Build a Collaborative Culture Security + IT + DevOps must work as one team. Clear ownership of remediation Continuous training Transparent reporting to leadership 9. Stay Ahead with Threat Intel & Continuous Learning Track zero-days actively exploited in the wild Apply compensating controls if patches aren’t available Conduct regular attack simulations 10. Make Vulnerability Management a Continuous Cycle Discover ➝ Assess ➝ Prioritize ➝ Remediate ➝ Verify ➝ Report ➝ Improve This is how organizations stay secure, compliant, and resilient in a world where threats evolve every hour #CyberSecurity #VulnerabilityManagement #ThreatIntelligence #PatchManagement #RiskManagement #SOC #InfoSec #SecurityLeadership #DevSecOps #CyberResilience #ZeroTrust #CloudSecurity #SecurityBestPractices #MITREATTACK #CISO #SIEM #GRC #ContinuousMonitoring

🔬 Comparing 2023 vs 2024 CVE numbers. Total CVE count grew 14.1% from 29084 in 2023 to 33201 in 2024. Microsoft CVEs grew 13.6% from 11575 in 2023 to 13150 in 2024. Linux  + RedHat CVEs grew 142.3% 🤯 from 3,650 in 2023 to 8,847 in 2024. Apple  CVEs decreased 6.1% from 1589 in 2023 to 1492 in 2024. Given the significant increase in CVE numbers, particularly the dramatic rise in Linux + RedHat vulnerabilities, it's crucial for organizations to enhance their cybersecurity measures. Here are some steps to take going into 2025: 🔎Vulnerability Assessment: Conduct comprehensive vulnerability assessments across all systems, with a special focus on Linux and RedHat environments. Utilize tools that can scan for both known and zero-day vulnerabilities. 🩹Patch Management: Prioritize the patching of vulnerabilities, especially those listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. Ensure that all patches for Microsoft, Linux, and RedHat systems are applied promptly. 👨💻Update Software and Systems: Regularly update all software, particularly operating systems and applications from Microsoft, Linux, and RedHat, to the latest secure versions. Consider automating updates where possible to reduce human error. 🧑🎓Security Training and Awareness: Increase staff awareness through training sessions about the latest threats, particularly those related to the increased CVEs. Focus on the importance of timely updates and secure practices. 🚨Incident Response Planning: Review and update your incident response plan to include specific procedures for dealing with exploits related to new CVEs. Conduct drills to ensure preparedness. 📊Monitor and Analyze: Implement or improve systems for continuous monitoring of your network and systems for anomalous behavior or signs of exploitation. Use threat intelligence to stay ahead of potential attackers. Engage with Security Communities: Stay engaged with cybersecurity communities, subscribe to security bulletins from vendors like Microsoft, RedHat, and Apple, and participate in forums or groups where vulnerabilities are discussed to keep abreast of emerging threats. 🔎Review Vendor Security Practices: For organizations using Microsoft or Linux/RedHat products, review the security practices of these vendors. Understand how they handle vulnerability disclosures and patching processes to align internal policies accordingly. 🦺Consider Cybersecurity Insurance: Evaluate whether your organization could benefit from cybersecurity insurance, especially given the rise in vulnerabilities which might increase the risk of a security incident. By taking these actions, organizations can better protect themselves against the growing number of vulnerabilities, ensuring that their systems remain secure even as threats evolve. #infosec #cyber #security

Unpopular opinion… you got a Vulnerability scanner expecting clarity but got 500,000 findings instead. 🤐 Some try to throw basic prioritization at it. 👀 Auto-label severity. Generate Jira tickets. Congrats! Now you have 500,000 "enhanced" problems. :) After decades in Cloud and years in AI for large enterprise i can safely say: Cloud security doesn’t fail because of lack of visibility. It fails because we operate at the wrong unit of work. Most teams triage at the finding level. Attackers don’t care about findings. They exploit patterns, while we look for a needle in a haystack One vulnerable base image. One bad IAM module. One Terraform pattern reused 200 times. One dependency sprayed across 40 services. Fix one root cause, and make dozens of vulnerabilities disappear. This is where AI can really help Today i see mature teams make the following shift: - Killing vulnerability classes - Designing remediation into agentic workflows - Use AI to prioritize what’s actually reachable - Route fixes to real owners (not security backlogs) - Offer usable options when the “perfect” fix breaks prod Shoutout to Maze who recently released their AI remediation agents which sparked this post. They are using AI for root cause, fix aggregation, environment-specific guidance, and routing to actual owners which feels like this shift in practice. Worth a look if you're staring at a wall of red. They are also the sponsor of this post but views are mine. Curious: When you hit your first wall of red…what did you do? #maze #sponsored

Post 26: Real-Time Cloud & DevOps Scenario Scenario: Your organization is containerizing applications and deploying them via a CI/CD pipeline. However, a recent security incident occurred because a container image with known vulnerabilities was pushed to production. This exposed critical data and forced an emergency patch. As a DevOps engineer, your task is to integrate security scanning into the CI/CD workflow—often called "shifting left" on security—to prevent vulnerable images from reaching production. Step-by-Step Solution: Set Up Automated Image Scanning: Integrate tools like Trivy, Aqua Security, or Anchore in the CI pipeline to scan container images before they’re pushed to a registry. Fail the build if any high or critical vulnerabilities are detected. Use a Secure Base Image: Choose minimal, well-maintained base images (e.g., Alpine, Distroless) to reduce the attack surface. Keep images updated by regularly pulling the latest base versions. Implement Policy-Driven Pipeline Gates: Define security policies to block images with known critical CVEs (Common Vulnerabilities and Exposures).Enforce these policies in your CI/CD pipeline using scripts or plugins. Example (GitHub Actions or Jenkins): yaml Copy steps: - name: Run Trivy Scan run: | trivy image --exit-code 1 --severity HIGH,CRITICAL my-image:latest Leverage SBOM (Software Bill of Materials): Generate an SBOM for each image to track dependencies and their versions. This helps quickly identify which images are affected by newly disclosed vulnerabilities. Adopt Role-Based Access Control (RBAC): Restrict permissions in your container registry and CI/CD tooling. Ensure only authorized users and pipelines can push images to production repositories. Regularly Update Dependencies: Automate dependency checks in your Dockerfiles and application code. Use tools like Dependabot, Renovate, or native build tools to keep libraries current. Perform Ongoing Monitoring and Alerts: Continuously monitor container images in production for newly disclosed vulnerabilities. Send automated alerts if newly discovered issues are found in active images. Establish a Quick Response Process: Define procedures for patching and redeploying affected images. Maintain an incident response plan to minimize downtime if a vulnerability slips through. Outcome: Improved security posture by preventing vulnerable images from reaching production. Reduced risk of exposing critical data, thanks to early detection and remediation. 💬 How do you integrate security scanning in your container workflows? Share your strategies below! ✅ Follow Thiruppathi Ayyavoo for daily real-time scenarios in Cloud and DevOps. Let’s evolve and secure our pipelines together! #DevOps #CloudComputing #SecurityScanning #ContainerSecurity #CI_CD #ShiftLeft #RealTimeScenarios #CloudEngineering #TechSolutions #LinkedInLearning #careerbytecode #thirucloud #linkedin #USA CareerByteCode

Here's what 𝗠𝗼𝗱𝗲𝗿𝗻 𝗥𝗶𝘀𝗸 𝗮𝗻𝗱 𝗘𝘅𝗽𝗼𝘀𝘂𝗿𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 looks like in 2025, based on practitioner interviews, vendor briefings, deep evaluation of emerging as well as established players and countless hours spent in researching. Report link: https://lnkd.in/gUS-z327 Vulnerability management isn’t what it was in the 2000s. The days of telling people to scan their assets for vulnerabilities, counting number of remediated CVEs and relying on CVSS scores are behind us. This report highlights key challenges that practitioners voiced, deep dive into innovative ways vendors are evolving under risk and exposure management category, using our DDPER (Deployment, Data Collection, Prioritization, Exposure, Remediation) framework, practical 5 step guide for practitioners and our prediction. 1️⃣ 𝗘𝘅𝗽𝗼𝘀𝘂𝗿𝗲 𝗜𝘀 𝗕𝗲𝗶𝗻𝗴 𝗥𝗲𝗱𝗲𝗳𝗶𝗻𝗲𝗱 Modern platforms move beyond traditional configuration reads to define exposure. We see solutions using innovative ways to not just define but validate exposure. Taking approaches such as true network reachability analysis, detection of compensating controls in place, ingesting unstructured data, and even assessing social chatter to define exploitation probability, beyond KEV and EPSS databases. 2️⃣ 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗖𝗼𝗻𝘃𝗲𝗿𝗴𝗲𝗻𝗰𝗲 𝗜𝘀 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗻𝗴 Acronyms like VM, RBVM, ASM, CAASM, ASPM, BAS, CTEM, and CNAPP are no longer independent. The future lies in all of these platforms delivering dynamic scoring and context-driven risk and exposure management. 3️⃣ 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗼𝗿 𝘃𝘀. 𝗣𝘂𝗿𝗲-𝗣𝗹𝗮𝘆 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 We’re seeing two clear market paths emerge: 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗼𝗿 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Unify vulnerability data from external scanners into a normalized risk view - ideal for organizations with diverse vulnerability tooling already in place. 𝗣𝘂𝗿𝗲 𝗦𝗰𝗮𝗻𝗻𝗶𝗻𝗴 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Conduct continuous native scanning across cloud, infrastructure, identity, and data (such as CNAPP platforms) - ideal for organizations looking for a single solution coverage. 4️⃣ 𝗥𝗲𝗺𝗲𝗱𝗶𝗮𝘁𝗶𝗼𝗻 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗾𝘂𝗶𝗰𝗸𝗹𝘆 𝗴𝗮𝗶𝗻𝗶𝗻𝗴 𝗽𝗿𝗲𝗰𝗲𝗱𝗲𝗻𝗰𝗲 Leading platforms now bridge security and IT with bi-directional ticketing, in-depth recommendations, SLA tracking, and fix validation turning findings into measurable risk reduction. 5️⃣ 𝗧𝗵𝗲 𝗣𝗿𝗮𝗰𝘁𝗶𝘁𝗶𝗼𝗻𝗲𝗿’𝘀 𝗣𝗹𝗮𝘆𝗯𝗼𝗼𝗸 Selecting the right platform now requires a structured approach, one that maps business needs, operational maturity, and desired automation outcomes to the right vendor model. This 5 step guide is to provide organizations with a quick way to evaluate how to approach the market. Top Vendors evaluated in-depth: Astelia  Axonius  Cogent Security Orca Security Seemplicity Tonic Security XM Cyber Nagomi Security Zafran Security