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Currently Playing: DevSecOps Explained: Secure CI/CD, Kubernetes, MLOps, LLM Security & AIOps

🚀 **Learn DevSecOps from Code to Production — with MLOps, LLM Security, and AIOps.** In this Naveen TechHub tutorial, we explain how security becomes part of the complete software and AI delivery lifecycle instead of being treated as a final security check. We’ll follow one practical e-commerce application with an AI recommendation model and trace the complete production journey: **Code → Build → Test → Scan → Store → Deploy → Monitor → Detect → Respond** 🔐 **What you'll learn** • DevOps vs DevSecOps and Shift-Left Security • GitHub repository, branch, and secrets security • SAST, SCA, dependency scanning, and security gates • Secure CI/CD with GitHub Actions and Jenkins • Docker image and container vulnerability scanning • Terraform and Infrastructure-as-Code security • Kubernetes and Amazon EKS security • IAM, RBAC, Network Policies, and runtime protection • AWS cloud security and monitoring • MLOps security from training to production • Model registry, approval, drift, bias, and endpoint security • LLM security, prompt injection, RAG, and data leakage • AIOps for anomaly detection and incident response 🛠️ **Tools covered** GitHub • Jenkins • Gitleaks • SonarQube • CodeQL • Semgrep • Snyk • Dependabot • OWASP Dependency-Check • HashiCorp Vault • AWS Secrets Manager • Docker • Trivy • Grype • Amazon ECR • Nexus • Artifactory • Terraform • Checkov • tfsec • Kubernetes • Amazon EKS • OPA • Kyverno • Kubescape • Falco • AWS GuardDuty • Inspector • Security Hub • CloudTrail • MLflow • SageMaker • Azure ML • Vertex AI • Kubeflow • Databricks • Dynatrace • Datadog • Splunk • New Relic • PagerDuty 💡 **The key idea** Security is not a final step. It should be built into every stage—from source code and CI/CD pipelines to cloud infrastructure, Kubernetes, machine-learning models, LLM applications, and production monitoring. This tutorial is designed for: ✅ DevOps & DevSecOps Engineers ✅ Cloud Engineers ✅ Software Engineers ✅ Data & ML Engineers ✅ MLOps Engineers ✅ AI / GenAI Engineers ✅ Solution & Cloud Architects ✅ Anyone preparing for DevSecOps, Cloud, MLOps, or AI interviews If you're learning how modern enterprise systems combine **DevSecOps + Cloud + Kubernetes + MLOps + LLM Security + AIOps**, this video gives you the end-to-end mental model. 👍 Like the video if it helps you. 💬 Comment which DevSecOps tool you want me to cover hands-on next. 🔔 Subscribe to **Naveen TechHub** for practical videos on DevOps, Cloud, AI, MLOps, Data Engineering, and Software Engineering. #DevSecOps #DevOps #MLOps #AIOps #LLMSecurity #Kubernetes #Docker #AWS #CICD #CyberSecurity #GenerativeAI #CloudSecurity #NaveenTechHub