🛡️ Azure DevOps Security Checklist v2.0 – Your Practical Blueprint for Securing CI/CD Pipelines 🚀🔐 If you’re managing cloud-native development or overseeing DevSecOps in Azure, you need more than just theory. You need structure, coverage, and depth. That’s why I created this comprehensive 48-page security guide — packed with real-world recommendations, configurations, and best practices to secure every layer of your Azure DevOps environment. 📘 What’s Inside? ✅ Access Control & RBAC → Least privilege, role definitions, inactive account reviews ✅ Authentication & Identity → MFA, SSO, Azure AD Identity Protection, risk-based policies ✅ Network Security → NSGs, VPN, ExpressRoute, Azure DDoS & Firewall ✅ Code & Pipeline Security → Secure coding standards, SAST/DAST integration, Git branch policies ✅ Secrets Management → Key Vault integration with pipelines, RBAC + policies, managed identities ✅ Audit & Monitoring → DevOps audit logs, alerts, Azure Security Center + Policy integration ✅ Container & Kubernetes Security → AKS hardening, container scanning, runtime defenses ✅ Incident Response & Recovery → Backup strategy, DR planning, logging & alerting workflows 💡 Why This Matters: From small teams to enterprise-grade cloud projects, security failures in CI/CD pipelines can lead to supply chain attacks, data leaks, and privilege escalations. This checklist helps teams build securely, automate confidently, and respond effectively. 📥 Want the full PDF? DM me or drop a “🔐” below — happy to share the complete Azure DevOps Security Checklist (v2.0). 🧩 Originally developed for Secure Debug Limited. #AzureDevOps #DevSecOps #CloudSecurity #CICDSecurity #AzureSecurity #SecurityEngineer #InfoSec #CyberSecurity #KeyVault #AzureAD #Pipelines #AppSec #SecurityChecklist #MicrosoftAzure #CI_CD
Cloud-native DevSecOps Practices
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Summary
Cloud-native DevSecOps practices combine scalable cloud technologies with development, security, and operations working together from the start. In simple terms, these practices automate security checks and monitoring throughout the software lifecycle so that vulnerabilities and risks are managed without slowing down delivery.
- Automate security checks: Set up continuous security scanning in your development pipelines to catch issues before software reaches production.
- Manage secrets carefully: Use secure tools to store passwords and keys, preventing accidental exposure of sensitive information in code or systems.
- Monitor everything: Keep an eye on logs, network activity, and cloud resources to spot suspicious behavior early and respond quickly.
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Dev, security, and operations no longer trade speed for safety; AI‑native DevSecOps makes them synonyms. Software engineering teams watch vulnerabilities evaporate before human triage begins by wiring large‑language‑model, graph‑based analytics, and self‑patching policy agents directly into the pipeline. The U.S. Air Force proved the model with Kessel Run’s continuous‑Authority‑to‑Operate framework: releases now flow in hours rather than months because every commit is scanned, signed, and monitored by autonomous controls that satisfy DoD cyber standards in real time. Across the civilian government, the IRS has institutionalized a “DevSecOps Practice” that automates testing, infrastructure‑as‑code, and continuous monitoring—accelerating modernization while embedding compliance into every life-cycle stage. Looking ahead, the real leap comes from layering intelligent, self‑improving capabilities on top of these foundations. Imagine a GovCloud pipeline where a reinforcement‑learning agent continuously rewrites infrastructure‑as‑code templates, eliminating newly discovered vulnerabilities and hard‑tuning cost and latency targets for each workload. Add a generative‑AI “policy composer” that turns evolving zero‑trust and CISA directives into executable compliance‑as‑code, pushing updates across every repo in minutes. These innovations turn best practices into living practices, pipelines that learn, adapt, and harden themselves. Agencies can slash lead times, reduce rework, and convert sunk cyber costs into mission capacity. They empower agencies to ship code at mission speed while the guardrails quietly keep pace with the threat landscape. #DevSecOps #AIinSecurity #ContinuousATO #PlatformOne #FederalInnovation #MissionVelocity #DoMoreWithLess
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What’s going on, y'all! 👋 I’m excited to announce that the documentation supporting the video I released with the Cloud Security Podcast — "How To Setup A DevSecOps Pipeline for Amazon EKS with Terraform" — has been released! 🎊 🥳 You can check out the full docs on The DevSec Blueprint (DSB) in the Projects section here: https://lnkd.in/gq-t8hSG Here’s a quick rundown of what you can learn below: ✅ Secure CI/CD Architecture: Combine AWS CodePipeline, CodeBuild, S3, SSM Parameter Store, and EKS for a seamless, end-to-end workflow. ✅ Integrated Security Scanning: Embed Snyk and Trivy checks directly into your pipeline to catch vulnerabilities before production. ✅ Infrastructure as Code: Leverage Terraform for consistent, scalable provisioning and easier infrastructure management. ✅ Containerized Deployments with EKS: Gain confidence deploying Kubernetes workloads to EKS, ensuring effortless scaling and orchestration. ✅ Proper Secrets Management: Use AWS Systems Manager Parameter Store to securely handle sensitive data, following best practices every step of the way. Check it out if you're looking to build cloud-native DevSecOps pipelines within AWS!
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𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝟒𝐂'𝐬 𝐨𝐟 𝐂𝐥𝐨𝐮𝐝-𝐍𝐚𝐭𝐢𝐯𝐞 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 🚀🔐 In today's digital landscape, embracing cloud-native security is crucial for any organization looking to leverage the full potential of cloud computing. The 4C's of Cloud-Native Security provide a comprehensive framework to ensure robust security in cloud environments: 𝐂𝐨𝐝𝐞: Secure coding practices are foundational. It's essential to integrate security early in the development process (shift-left approach), conduct regular code reviews, and use static application security testing (SAST) tools to detect vulnerabilities. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫: Containers are pivotal in cloud-native architectures. Ensuring container security involves using trusted base images, regularly updating images, and scanning for vulnerabilities. Implement runtime security measures to monitor and protect containers from threats. 𝐂𝐥𝐮𝐬𝐭𝐞𝐫: Kubernetes and other orchestration tools manage clusters of containers. Securing the cluster involves network segmentation, role-based access control (RBAC), and continuously monitoring the cluster's health and security posture. 𝐂𝐥𝐨𝐮𝐝: The cloud infrastructure itself must be secure. This includes enforcing strong identity and access management (IAM) policies, encrypting data at rest and in transit, and regularly auditing and monitoring cloud resources for compliance. By focusing on these 4C's, we can build robust, secure, and resilient cloud-native applications that withstand the evolving threat landscape. Let’s continue to prioritize security at every layer and safeguard our digital future! 🌐🔒 #cloudnativesecurity #DevSecOps #cybersecurity #cloudcomputing #securedevelopment #containersecurity #kubernetes #cloudsecurity #securebydesign
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If you’re looking to practice DevSecOps — here are 2 projects you should definitely check out.. (and the key processes you should know) TL;DR : DevSecOps = DevOps + Security, built in from the start. When I started exploring this practice, I realized I was already using parts of it in my day-to-day work. The security layer wasn’t just about adding tools — it was about thinking end-to-end across the whole DevOps workflow. Here are the few key components: → Security Checks & Scans Catch issues early with automated code and app security tests. → Vulnerability Management Scan, prioritize, and patch vulnerabilities regularly. → Threat Modeling Identify possible risks and plan mitigations before release. → Key Management Keep secrets, API keys, and certificates secure. → CI/CD with Security Automate builds and deployments with security gates built in. → Infrastructure as Code (IaC) Define infra in code for consistency and secure provisioning. → Container Security Scan images and protect containers during runtime. → Continuous Monitoring Track logs, activity, and network traffic for anomalies. → QA Integration & Collaboration Embed QA and make security part of team culture. ⸻ 2 Projects to Implement: 1. Netflix Clone with DevSecOps Pipeline • Covers CI/CD, container scans, secrets management, monitoring. • GitHub : https://lnkd.in/dWR4GV7m • Youtube: https://lnkd.in/dkSjBcNM 2. DevSecOps CI/CD Implementation • Implementing a pipeline for a Tic-Tac-Toe game application.. • GitHub : https://lnkd.in/d3WgCuKY • Youtube: https://lnkd.in/dTQcw3Sw Any other projects or topics you'd like to add? Comment below 👇 If you found this useful: • • • I regularly share bite-sized insights on Cloud & DevOps (through my newsletter as well) — if you're finding them helpful, hit follow (Vishakha) and feel free to share it so others can learn too! Image Src : ByteByteGo
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✨ Excited to Share My Latest Project! ✨ I recently built a secure, automated CI/CD pipeline integrating DevSecOps & GitOps best practices for containerized applications using Jenkins, Kubernetes, ArgoCD & HashiCorp Vault. 🔹 Key Features & Implementation ✅ CI/CD Automation – Static code analysis (SonarQube), security scanning (Trivy), and containerized builds with Docker. ✅ GitOps with ArgoCD – Automated Kubernetes deployments, continuously syncing with Git. ✅ Secrets Management – Secure, dynamic credentials with HashiCorp Vault, eliminating hardcoded secrets. ✅ Monitoring & Observability – Prometheus & Grafana for real-time insights and system reliability. Tech Stack: GitHub | Jenkins | SonarQube | Trivy | Docker | Kubernetes | ArgoCD | Vault | Prometheus | Grafana This project enhanced my expertise in DevSecOps, GitOps, and cloud-native automation, ensuring secure & scalable deployments. 💡 How do you integrate security into your DevOps workflows? Let’s exchange insights! #DevSecOps #GitOps #Kubernetes #CICD #CloudNative #Automation #CyberSecurity #DevOps
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