Today we released the Wiz SDLC Security 2026 Report. The core takeaway: For application security, we need to shift our focus from tracking individual software vulnerabilities to managing systemic infrastructure risk. In a modern software development lifecycle, risk multiplies through inherited permissions, automated pipelines, and concentrated code reuse. Because many enterprises build on the same core open-source foundations, a single vulnerability can automatically replicate across thousands of environments. In an AI-driven pipeline, this compounding effect accelerates. Architectural flaws can duplicate and ship faster than traditional security guardrails can catch them. Security is an accelerator, but only if it's built in and not bolted on. To safely deploy agentic AI platforms and scale complex systems, automated guardrails must be embedded directly into the developer workflow. Read the full breakdown here: https://lnkd.in/ep7tHHuK
Wiz SDLC Security 2026 Report: Shifting Focus to Systemic Risk Management
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Worth reading: https://lnkd.in/g-r8CNvZ Good insights on what's actually changing in modern dev environments (instead of just recycling old stats). Key takeaways re. how risk compounds through shared infra, permissions, pipelines and how "AI accelerates development, scaling impacts across environments". Wiz State of #SDLC #Security 2026
Today we released the Wiz SDLC Security 2026 Report. The core takeaway: For application security, we need to shift our focus from tracking individual software vulnerabilities to managing systemic infrastructure risk. In a modern software development lifecycle, risk multiplies through inherited permissions, automated pipelines, and concentrated code reuse. Because many enterprises build on the same core open-source foundations, a single vulnerability can automatically replicate across thousands of environments. In an AI-driven pipeline, this compounding effect accelerates. Architectural flaws can duplicate and ship faster than traditional security guardrails can catch them. Security is an accelerator, but only if it's built in and not bolted on. To safely deploy agentic AI platforms and scale complex systems, automated guardrails must be embedded directly into the developer workflow. Read the full breakdown here: https://lnkd.in/ep7tHHuK
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Most teams discover security problems after deployment. That moment is uncomfortable. Logs are noisy. Customers are impacted. And suddenly security becomes urgent. But here is the quiet truth many teams overlook. Security failures rarely start in production. They begin much earlier. In planning. In architecture decisions. In code commits. The real shift happens when security becomes part of the entire development lifecycle. That is the idea behind Secure SDLC. Not a final checkpoint. A continuous loop of protection. 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐦𝐨𝐝𝐞𝐫𝐧 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐭𝐞𝐚𝐦𝐬 𝐞𝐦𝐛𝐞𝐝 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐢𝐧𝐭𝐨 𝐞𝐯𝐞𝐫𝐲 𝐩𝐡𝐚𝐬𝐞. → 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 • Threat modeling • Compliance requirements • Security benchmarks • STRIDE • PASTA → 𝐃𝐞𝐬𝐢𝐠𝐧 • Secure architecture review • Security design principles • Threat Dragon • IriusRisk → 𝐂𝐨𝐝𝐞 • SAST scanning • Secrets detection • Peer code review • Pre commit hooks • SonarQube • Semgrep • GitGuardian → 𝐁𝐮𝐢𝐥𝐝 • Software composition analysis • Open source dependency scanning • Container security scanning • Snyk • Trivy • OWASP Dependency Check → 𝐓𝐞𝐬𝐭 • Dynamic application security testing • Penetration testing • API security validation • OWASP ZAP • Burp Suite → 𝐃𝐞𝐩𝐥𝐨𝐲 • Cloud security posture checks • Infrastructure as code scanning • Secrets management • Checkov • Terraform Sentinel • Vault → 𝐌𝐨𝐧𝐢𝐭𝐨𝐫 • Runtime monitoring • Security analytics • Incident response workflows • Splunk • Datadog • Wazuh Secure SDLC is not about slowing developers down. It is about building trust into software from day one. Because the safest systems are not the ones patched at the end. They are the ones designed securely from the start. Curious how security is integrated into your engineering workflow. Follow Dinesh Anbumani for more insights
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Excellent post from my colleague Ben. Contact me if cross domain DevSecOps or broader cross domain challenges are on your mind.
Cybersecurity | Data & Network Security | Cross-Domain Solutions | Public Speaker
Building applications for higher-classification environments has long been an inherently complex challenge in cross-domain. Whether it be “develop low, deploy high” or moving artefacts and dependencies to support development in higher-classification environments, cross-domain DevSecOps is a challenge that has been discussed for years. In practice, the challenge is how you securely move code, artefacts, and dependencies between environments operating at different security classifications throughout the software lifecycle. There have long been strong capabilities out there that solve parts of this problem very well in isolation. A challenge that repeatedly comes up is integration — how do you integrate these capabilities to deliver something that works end-to-end across domains and can be maintained? Since joining OPSWAT earlier this year, what’s stood out to me is a genuinely end-to-end approach to this challenge. Supporting true repository-to-repository replication across security domains, enabling ingress from repositories in one environment and egress into repositories in another, with layered security controls applied at the appropriate control points. Importantly, this is delivered through integrated, commercially available technology rather than relying on bespoke engineering to stitch components together. The NCSC’s recent update to its Cross Domain guidance feels particularly timely here. One of the strongest messages in it is that cross-domain is not a single appliance between networks, but an end-to-end approach shaped by the threat landscape, risk appetite, and zones of trust, with security-enforcing functions applied at different control points. If you want to talk cross-domain DevSecOps or broader cross-domain challenges, skip the slideware and see this capability in action — let’s talk.
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Building applications for higher-classification environments has long been an inherently complex challenge in cross-domain. Whether it be “develop low, deploy high” or moving artefacts and dependencies to support development in higher-classification environments, cross-domain DevSecOps is a challenge that has been discussed for years. In practice, the challenge is how you securely move code, artefacts, and dependencies between environments operating at different security classifications throughout the software lifecycle. There have long been strong capabilities out there that solve parts of this problem very well in isolation. A challenge that repeatedly comes up is integration — how do you integrate these capabilities to deliver something that works end-to-end across domains and can be maintained? Since joining OPSWAT earlier this year, what’s stood out to me is a genuinely end-to-end approach to this challenge. Supporting true repository-to-repository replication across security domains, enabling ingress from repositories in one environment and egress into repositories in another, with layered security controls applied at the appropriate control points. Importantly, this is delivered through integrated, commercially available technology rather than relying on bespoke engineering to stitch components together. The NCSC’s recent update to its Cross Domain guidance feels particularly timely here. One of the strongest messages in it is that cross-domain is not a single appliance between networks, but an end-to-end approach shaped by the threat landscape, risk appetite, and zones of trust, with security-enforcing functions applied at different control points. If you want to talk cross-domain DevSecOps or broader cross-domain challenges, skip the slideware and see this capability in action — let’s talk.
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The article highlights how AI coding agents are revolutionizing software development, yet many organizations struggle with outdated SDLC processes, leading to governance gaps and security risks. I found it interesting that the acceleration in development requires a reevaluation of our existing frameworks to mitigate these new vulnerabilities. What strategies are you considering to address these challenges in your organization?
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Excited to share that our paper “Intelligent Risk-Adaptive Secure Software Development Life Cycle (IRAS-SDLC)” has been published in Systems. This research was inspired by the 2010 paper “Integrating Software Assurance into the Software Development Life Cycle (SDLC)” by Maurice Dawson Jr., Ph.D., which emphasized the importance of embedding software assurance early in the SDLC instead of treating security as a late-stage activity. IRAS-SDLC builds on that foundation by modernizing secure software assurance with AI-assisted vulnerability detection, lifecycle risk aggregation, RMF alignment, Zero Trust principles, and DevSecOps deployment. A key contribution of the framework is its risk model: R = αV + βE + γI where vulnerability likelihood, exploitability, and impact are combined into a unified lifecycle risk score to support earlier detection and better prioritization. Special thanks to Maurice Dawson Jr., Ph.D., my advisor, and Dr. Ahmed Ben Ayed for their guidance, supervision, and support throughout this work. What makes this especially exciting is that the framework was evaluated and shown to be practical for real-world use. The GitHub repository includes deployment guidance and integration steps for organizations looking to adopt IRAS-SDLC within industry environments, including DevSecOps pipelines, secure software assurance workflows, RMF-based compliance, and Zero Trust risk monitoring. GitHub: https://lnkd.in/gkaGsEYW Paper: https://lnkd.in/gmuPDGBf
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DevSecOps explained — why security must be part of every deployment, not an afterthought 🔐 Here is a story that plays out in companies every single day. Developers spend 3 months building a product. The security team reviews it at the end. They find 47 vulnerabilities. The entire release gets delayed by 6 weeks. Sound familiar? This is the old way. And it is broken. DevSecOps fixes this completely. DevSecOps = Development + Security + Operations working together from Day 1. Instead of checking security at the end, you embed security checks automatically inside every step of your CI/CD pipeline. Old Way vs DevSecOps: ❌ Old Way: → Build the entire app first → Hand it to security team at the end → They find bugs after everything is done → Fixing a security issue at this stage costs 100× more → Release delayed by weeks ✅ DevSecOps Way: → Security scans run automatically at every step → Developer gets notified of the bug the moment they write it → Fix takes 5 minutes, not 5 weeks → Ship fast AND stay secure — not one or the other Security gates inside your CI/CD pipeline: 💻 Code → write secure code with linting rules 🔍 SAST → Static Application Security Testing — scan code before it runs 🧪 Test → automated security test cases run with every build 📦 DAST → Dynamic Application Security Testing — scan the running app 🚀 Deploy → only fully verified, secure code reaches production ✅ 4 tools every DevSecOps Engineer uses: 🔴 Snyk — scans your code and dependencies for known vulnerabilities (CVEs) 🛡️ SonarQube — checks code quality and flags security anti-patterns 🐳 Trivy — scans Docker images for vulnerabilities before pushing to registry 🔑 HashiCorp Vault — manages secrets, API keys, and credentials securely The key mindset shift: Security is not the security team's job alone. In DevSecOps, every developer owns security. Every pipeline enforces it. Every deployment proves it. Shift security LEFT — catch it early, fix it cheap, ship it fast. Day 8 of my DevOps visual series 🎯
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Everyone talks about Claude Code. But that's just one piece of the ecosystem. Anthropic has quietly built something much bigger and most people haven't mapped it yet. Day 10/90: Learn something new every day. Here's the full Claude ecosystem, broken down: Claude Chat for writers, students, and curious minds. Text, ideas, artifacts. Your thinking partner. Claude Code for developers and DevOps. Functional code, PRs, agentic workflows straight from your terminal. Claude Cowork for managers, analysts, and ops teams. Reports, sheets, docs without switching 10 tools. Claude Security for security teams and CTOs. Vulnerability reports, patches, protection at the system level. Same intelligence. Four different jobs. Most people are using one layer and missing the other three. Which part of the Claude ecosystem fits your workflow the best?
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📍 𝐓𝐇𝐄 𝐋𝐈𝐅𝐄𝐂𝐘𝐂𝐋𝐄 𝐎𝐅 𝐀 ���𝐎𝐅𝐓𝐖𝐀𝐑𝐄 𝐁𝐔𝐆 𝐀𝐓 𝐇𝐀𝐓 𝐓𝐄𝐂𝐇 🏗️🐜 At 𝐇𝐀𝐓 𝐓𝐞𝐜𝐡, we don't just "𝐩𝐚𝐭𝐜𝐡" bugs. We believe a bug is a symptom of a deeper architectural gap. Our process ensures that once a bug is killed, it never finds its way back into our codebase. 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐨𝐮𝐫 𝟓-𝐬𝐭𝐞𝐩 𝐃𝐞𝐭𝐞𝐜𝐭-𝐭𝐨-𝐃𝐞𝐩𝐥𝐨𝐲 𝐩𝐫𝐨𝐭𝐨𝐜𝐨𝐥: ↴ 🏛️ 𝐓𝐇𝐄 𝐇𝐀𝐓 𝐓𝐄𝐂𝐇 𝐁𝐔𝐆 𝐏𝐑𝐎𝐓𝐎𝐂𝐎𝐋 ➤ 𝟏. 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 & 𝐈𝐬𝐨𝐥𝐚𝐭𝐢𝐨𝐧: ➥ We don't rely on guesswork. We capture logs and environment parameters to replicate the bug in a 100% isolated environment. ➤ 𝟐. 𝐑𝐨𝐨𝐭 𝐂𝐚𝐮𝐬𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 (𝐑𝐂𝐀): ➥ 𝐌𝐲 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: "Don't fix the symptom, fix the system." We identify the structural flaw that allowed the bug to exist in the first place. ➤ 𝟑. 𝐓𝐡𝐞 𝐑𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧 𝐒𝐡𝐢𝐞𝐥𝐝: ➥ Before writing a fix, we write a "𝐅𝐚𝐢𝐥𝐢𝐧𝐠 𝐓𝐞𝐬𝐭." This ensures that no future update can ever reintroduce this specific bug. ➤ 𝟒. 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐚𝐥 𝐀𝐮𝐝𝐢𝐭: ➥ Every fix undergoes a rigorous review. We evaluate whether the solution impacts system performance, security, or future scalability. ➤ 𝟓. 𝐕𝐢𝐠𝐢𝐥𝐚𝐧𝐭 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: ➥ After deployment, we use real-time monitoring to confirm 100% system stability and performance under heavy load. 🔥 𝐀𝐖𝐀𝐈𝐒’𝐒 𝐀𝐑𝐂𝐇𝐈𝐓𝐄𝐂𝐓𝐔𝐑𝐀𝐋 𝐈𝐍𝐒𝐈𝐆𝐇𝐓𝐒 ➤ 𝐏𝐫𝐞𝐯𝐞𝐧𝐭𝐢𝐨𝐧 𝐨𝐯𝐞𝐫 𝐂𝐮𝐫𝐞: ➥ My goal is building "𝐒𝐞𝐥𝐟-𝐇𝐞𝐚𝐥𝐢𝐧𝐠" systems. A robust architecture is the best bug repellent you can have. ➤ 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐃𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐞: ➥ Documentation isn't optional. Every major fix results in a "𝐋𝐞𝐬𝐬𝐨𝐧𝐬 𝐋𝐞𝐚𝐫𝐧𝐞𝐝" brief to upgrade the team's collective vision. 🛠️ 𝐌𝐘 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑𝐈𝐍𝐆 𝐌𝐀𝐍𝐓𝐑𝐀𝐒 ➥ "𝐀 𝐛𝐮𝐠 𝐢𝐬 𝐚 𝐭𝐞𝐚𝐜𝐡𝐞𝐫. 𝐈𝐟 𝐲𝐨𝐮 𝐝𝐨𝐧'𝐭 𝐥𝐞𝐚𝐫𝐧 𝐟𝐫𝐨𝐦 𝐢𝐭, 𝐲𝐨𝐮 𝐟𝐚𝐢𝐥𝐞𝐝 𝐭𝐡𝐞 𝐜𝐥𝐚𝐬𝐬." ➥ "𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐢𝐬 𝐧𝐨𝐭 𝐚 𝐝𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭; 𝐢𝐭 𝐢𝐬 𝐚 𝐜𝐮𝐥𝐭𝐮𝐫𝐞." 💡 𝐓𝐇𝐄 𝐕𝐄𝐑𝐃𝐈𝐂𝐓 Software excellence isn't about writing bug-free code it's about building resilient systems. At 𝐇𝐀𝐓 𝐓𝐞𝐜𝐡, we architect for reliability. 🚫 "𝐒𝐭𝐨𝐩 𝐩𝐚𝐭𝐜𝐡𝐢𝐧𝐠. 𝐒𝐭𝐚𝐫𝐭 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐢𝐧𝐠." I am 𝐀𝐰𝐚𝐢𝐬 𝐀𝐡𝐦𝐚𝐝, Systems Architect & CTO. Building foundations for the future. 📢 𝐇𝐎𝐖 𝐃𝐎𝐄𝐒 𝐘𝐎𝐔𝐑 𝐓𝐄𝐀𝐌 𝐓𝐑𝐄𝐀𝐓 𝐁𝐔𝐆𝐒? ↴ ➥ Is it a quick patch or a deep structural analysis? ➥ 𝐃𝐌 "𝐒𝐘𝐒𝐓𝐄𝐌" to see how we maintain 99.9% uptime for our clients. #AwaisAhmad #HATTech #SoftwareEngineering #BugLifecycle #SystemArchitecture #CTO #CleanCode #TechLeadership #QualityAssurance #Scalability
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