Intelligent Pipelines: Bringing AI/ML into DevSecOps Automation
summary
Claims an MCP/NCP platform that embeds ML and agents into CI/CD to run predictive vulnerability detection and smart incident response, implemented as a prototype on OpenShift using GitLab/Tekton, Argo CD/Helm, SonarQube and Starboard for security, and Prometheus/Thanos/Vector for observability. The pipeline stops builds for dependency or image CVEs, runs pre‑build code and image checks, surfaces automated remediation suggestions, and uses LangChain/Anthropic/NAN integrations; project is early stage, open source, and emphasizes ROI and data quality for model training.
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chapters (8)
- 0:00Intelligent pipelines intro
- 2:10CI/CD and DevSecOps evolution
- 6:26Intelligent pipelines with MCP
- 11:48Enterprise use cases and ROI
- 17:48Agentic AI and MCP strategies
- 23:48Intelligent pipelines architecture
- 26:12Conclusion and future
- 28:01Q&A on security
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