Secure Software Development Life Cycle (SDLC)

🔐 SECURITY BY DESIGN 🔐 Most security incidents don't happen because organizations lack security tools. They happen because security was considered too late. Security by Design is the practice of embedding security into every phase of the application, cloud, and infrastructure lifecycle — from requirements gathering to deployment and continuous monitoring. Instead of asking: ❌ "How do we secure it after it's built?" Security by Design asks: ✅ "How do we build it securely from day one?" I created this infographic as a practical guide covering the key areas security architects, cloud engineers, developers, DevSecOps engineers, and security teams should evaluate when reviewing an application or cloud-based solution. 📌 Key areas covered: 🔹 Requirements & Business Context - Business objectives - Regulatory requirements - Data classification - Security requirements 🔹 Architecture & Design Review - Threat Modeling - Trust Boundaries - Attack Surface Analysis - Security Architecture Patterns 🔹 Identity & Access Management - Authentication - Authorization - Least Privilege - Privileged Access Management - Federation & SSO 🔹 Data Security - Encryption at Rest - Encryption in Transit - Key Management - Data Retention - Data Classification 🔹 Application Security - OWASP Top 10 - Input Validation - Secure Coding Practices - API Security - Session Management 🔹 Cloud & Infrastructure Security - Network Segmentation - Security Groups - Kubernetes Security - Workload Protection - Secure Configurations 🔹 DevSecOps & SDLC - SAST - DAST - IaC Scanning - Dependency Management - CI/CD Security Gates 🔹 Monitoring & Incident Response - SIEM - Logging - Alerting - Threat Detection - Response Readiness 🔹 Third-Party & Supply Chain Security - Vendor Risk - Open-Source Dependencies - Software Supply Chain Controls One of the most important principles I have learned throughout my security journey: 🛡️ Security is not a phase. 🛡️ Security is not a tool. 🛡️ Security is not a checklist. Security is an engineering mindset that should be present in every design decision. When security becomes part of architecture rather than an afterthought, organizations build systems that are: ✅ More resilient ✅ Easier to maintain ✅ Easier to audit ✅ Better prepared for modern threats The earlier security is introduced, the lower the cost of fixing vulnerabilities and the higher the overall security posture. What additional checks or design-review questions do you typically include during Security by Design assessments? #CyberSecurity #SecurityByDesign #SecurityArchitecture #CloudSecurity #ApplicationSecurity #DevSecOps #ThreatModeling #ZeroTrust #IAM #SecureSDLC #OWASP #SecurityEngineering #InfoSec #CloudArchitecture #SecurityAssessment

If you’ve ever wondered where most security lapses really begin, this post comes straight from what I see inside real pipelines every week.... Whenever a team tells me, “We follow SSDLC,” I don’t start by reading their policy. Instead, I look at their pipeline. And in most places, the real flow looks like this: 𝟏. 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝟐. 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐭𝐞𝐬𝐭𝐢𝐧𝐠  𝟑. 𝐬𝐭𝐚𝐠𝐢𝐧𝐠  𝟒. 𝐝𝐞𝐩𝐥𝐨𝐲  𝟓. 𝐭𝐡𝐞𝐧 𝐬𝐨𝐦𝐞𝐨𝐧𝐞 𝐫𝐞𝐦𝐞𝐦𝐛𝐞𝐫𝐬 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲. But, by that point, the attack surface is part of the design. For me, a real SSDLC starts before the first line of code: 𝐓𝐡𝐫𝐞𝐚𝐭 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐢𝐧 𝐝𝐞𝐬𝐢𝐠𝐧: data flow diagrams, abuse cases, attacker paths. 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 𝐰𝐢𝐭𝐡 𝐮𝐬𝐞𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬: auth, input validation, logging, rate limiting choices defined upfront. 𝐒𝐞𝐜𝐮𝐫𝐞 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐛𝐚𝐤𝐞𝐝 𝐢𝐧𝐭𝐨 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: so every new feature inherits good controls by default. But in real audits, I still see: 1. No 𝐒𝐀𝐒𝐓 in CI, or it’s wired but findings are “temporarily” muted. 2. No proper 𝐒𝐂𝐀, so vulnerable third-party libraries quietly sit in production. 3. 𝐃𝐀𝐒𝐓 run ad hoc, not as part of a continuous pipeline. 4. The same flaws repeating: IDOR/BOLA, CSRF, SSRF, XSS, broken authZ across multiple modules. 5. Business logic bypasses that any curious attacker could chain into account takeover or data exfiltration. So, the problem isn’t high-end attacks. 𝐈𝐭’𝐬 𝐭𝐡𝐚𝐭 𝐜𝐨𝐦𝐦𝐨𝐧 𝐟𝐥𝐚𝐰𝐬 𝐤𝐞𝐞𝐩 𝐬𝐥𝐢𝐩𝐩𝐢𝐧𝐠 𝐢𝐧𝐭𝐨 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐰𝐚𝐬𝐧’𝐭 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐜𝐞𝐬𝐬. If security isn’t woven into 𝐝𝐞𝐬𝐢𝐠𝐧 𝐫𝐞𝐯𝐢𝐞𝐰𝐬, 𝐬𝐩𝐫𝐢𝐧𝐭 𝐩𝐥𝐚𝐧𝐧𝐢𝐧𝐠, 𝐜𝐨𝐝𝐞 𝐫𝐞𝐯𝐢𝐞𝐰𝐬, 𝐚𝐧𝐝 𝐂𝐈/𝐂𝐃, you don’t have a Secure SDLC. You have an exploit chain waiting for the right 𝐚𝐭𝐭𝐚𝐜𝐤 𝐬𝐮𝐫𝐟𝐚𝐜𝐞 𝐜𝐫𝐚𝐰𝐥... #DevSecOps #SecureSDLC #CyberSecurity #CloudSecurity #SoftwareEngineering

Shift left is NOT dead! It’s just become misunderstood for some reason. Let’s clear it up: Shift left in cybersecurity simply means adding security habits earlier in the software development lifecycle (SDLC). It means implementing proactive security habits closer to design and coding, rather than ONLY reacting once software is already in production. But here’s the key: To shift left effectively, you should first "start right". Start Right: Build visibility, monitoring, and resilience in production - Monitor for real-world threats and attacks - Respond to and fix actual exploitable production vulnerabilities (found via pentests and bug bounty findings) - Track the cost and impact of security incidents Then, use root cause analysis to connect these incidents to upstream opportunities for prevention, so you can make the case for... Shift Left: Move prevention and awareness earlier in the lifecycle - Conduct architecture reviews and regular threat modeling - Define security requirements and apply secure coding practices - Deliver secure code training - Implement pre-production scanning (SAST, SCA, etc.) Once both the right-side and left-side controls are in place, you have successfully shifted "everywhere" - the ultimate goal! But let’s be clear: “Shift everywhere” does NOT mean pushing the security responsibilities onto the developers. It means building effective security controls into the SDLC itself, with well defined shared responsibilities across: - Developers - Security - Product and Project Managers - Engineering leaders …and anyone else involved in shipping software This all will require CHANGE to your organization's habits and culture, which takes time, and a whole lot of patience. You’ll need allies. You’ll need security champions. Your security team can’t do this alone. Start right → Shift left → Shift everywhere! #applicationsecurity #productsecurity #softwaresecurity #securitychampions #securityculture #proactivesecurity #devsecops #developerexperience #shiftleft #shifteverywhere #sdlc

Most mobile security programs still operate on a tradeoff, to their detriment. Find issues early or harden apps for production…that’s a false dichotomy. The reality is, mobile risk doesn’t show up at just one stage of the lifecycle. It spans from development to runtime to backend APIs. Focusing on only one layer leaves gaps everywhere else. I was reading a recent paper from Info-Tech that reinforces a more complete approach. Start with automated testing early in the SDLC. Combining static and dynamic analysis inside CI/CD helps teams catch issues before they ship, when fixes are cheaper and faster. Once the app is in the wild, the problem shifts. Attackers aren’t just finding bugs, they’re trying to reverse engineer code, extract secrets, and modify behavior. That’s where multi-layered hardening comes in, making static analysis and IP theft significantly harder. Then there’s runtime. Embedding RASP controls directly into the app allows you to detect debugging, emulators, jailbreaks, and other tampering attempts in real time. Not after the fact, but as it’s happening. Increasingly, the real target isn’t the app itself, it’s the APIs behind it. App attestation becomes critical here, validating the integrity of the app and device before allowing backend interactions. Finally, none of this works without visibility. Monitoring real-world usage, device context, and behavior is what turns controls into something operational. This is what “defense in depth” actually looks like for mobile. Not a single tool or phase, but a system that spans build, runtime, and backend. If you want to move fast and ship trusted mobile apps, this blueprint from Resilient Cyber partner Guardsquare is worth checking out: https://hubs.ly/Q048x_z30

💪 Your SDLC is only as strong as the security you automate into it. Without embedding security, it’s just a pipeline waiting for a breach. In today’s cybersecurity climate, security and compliance can't be added0-on at the end of the process. It has to be part of every stage of the SDLC. Here’s how we’ve tackled automating security and compliance controls to ensure our pipeline is robust while ensuring no slow-down in the dev process: 1️⃣ Foster a Cybersecurity Culture – It starts with people. A strong security culture ensures that every line of code is built with cybersecurity in mind. 2️⃣ Automate Code Quality Checks – Eliminate human error and ensure every commit meets your security and compliance standards before merging. 3️⃣ Automate SAST/DAST – Static and dynamic application security testing can catch vulnerabilities early, saving time and preventing costly fixes later. 4️⃣ Secure Your CI/CD Pipeline – Integrating security controls directly into your CI/CD processes helps to protect every release. 5️⃣ Monitoring and Alerting – Real-time monitoring and alerting systems keep you ahead of potential threats and vulnerabilities. 🥅 The goal is simple: Integrate security into the heart of development so teams can innovate faster without compromising safety. This is especially true in healthcare. Any other ideas on how to improve SDLC security? #cto #cio #ciso #cybersecurity #compliance

Dear Systems Security & Audit Professional, In today’s environment, software isn’t just supporting the business; it is the business. And when software becomes mission‑critical, the integrity of the SDLC becomes a direct driver of security, reliability, and compliance. After more than a decade auditing technology environments and evaluating control maturity across development pipelines, one thing is clear: A secure SDLC doesn’t happen by accident. It’s the result of governance, discipline, and well‑designed controls embedded from requirements to deployment. To help teams strengthen their development practices, I’ve created a comprehensive SDLC Audit Checklist that brings structure and clarity to assessing software assurance. It includes practical audit questions, validation steps, evidence requirements, and alignment with leading frameworks such as NIST SSDF, OWASP SAMM, ISO 27001, PCI DSS, and SOC 2. Whether your goal is to improve DevSecOps maturity, reduce vulnerabilities, or enhance audit readiness, this checklist provides a clear roadmap for evaluating the strength of your SDLC. Curious to hear, where do you see the biggest gaps in SDLC governance today? #SDLC #DevSecOps #ITAudit #CyberSecurity #SecureCoding #RiskManagement #SoftwareAssurance #NISTSSDF #OWASPSAMM #ISO27001 #ControlsTesting #GRC #AuditLeadership ♻️ Download, share, and/or repost this so that your teams and other professionals can apply strong controls in their environments. 👉Follow Nathaniel Alagbe for more

𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 – 𝟱𝟬 𝗛𝗮𝗻𝗱𝘀-𝗢𝗻 𝗔𝘀𝘀𝗶𝗴𝗻𝗺𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸𝗯𝗼𝗼𝗸 | 𝟯𝟬𝟬+ 𝗣𝗮𝗴𝗲𝘀 💡 What’s inside: • Secrets scanning with Gitleaks • Container security with Trivy • IaC security using Checkov • Code quality with SonarQube • Secrets management with Vault • Runtime security (Falco, Istio) • SBOM, Cosign, Supply Chain Security • Kubernetes & Cloud security • CI/CD security (GitHub Actions) • Full end-to-end DevSecOps pipeline All structured exactly like real production systems. Why this matters: Security is not a final step anymore. It must be integrated at every stage of SDLC — from commit → build → deploy → runtime. Because fixing issues in production can cost 100x more than fixing them early. 🎯 This workbook helps you: • Think like a DevSecOps engineer • Build secure pipelines end-to-end • Understand real-world architecture • Prepare for production-level roles If you’re serious about DevOps → DevSecOps transition, this will change how you build systems. #DevSecOps #DevOps #CloudSecurity #Kubernetes #AWS #GitHubActions #ShiftLeft #Security #PlatformEngineering #DevOpsShack

The number and blast radius of supply chain incidents continues to increase. At Cloud Native Computing Foundation (CNCF) KubeCon, Kusari spoke to a lot of folks who are absolutely overwhelmed by the never ending supply chain incidents and all the new attack vectors they have to keep track of. I am writing up something larger, but in the meantime here's some real quick thoughts on how we internally secure our own systems. We think securing the software supply chain is really about securing your SDLC. It consists of 3 pieces: 1. Secure the Factory: SDLC + Meta-process Secure the infrastructure and processes by which you develop code. Following best practices like pinning or verifying hashes in your dependency management flows. 2. Secure the Inventory: Code + Artifacts at Rest New vulnerabilities are discovered, dependencies go end of life, new attack patterns emerge. Your code might not change but the world around your code did. Ensure you are regularly scanning your code and dependencies. Use standardized formats like SBOMs to keep a history of changes to your supply chain. 3. Secure the Assembly Line: Code in Motion Preventing bad code, vulnerable dependencies, etc. in the first place simplifies your security. Using tools like Inspector: https://kusari.cloud makes it simple. Internally we're building out our SDLC security models using Eman Abu Ishgair's AStRA model framework and recommend checking it out: https://lnkd.in/ee4q__GU