MLSecOps Practical Reference Guide v1.0.0

MLSecOps Practical Reference Guide v1.0.0

First stable release of the practical reference guide for securing AI systems across the lifecycle.

Downloads

• DOCX — full guide with embedded diagrams
• PDF — reading and sharing
• Markdown — chapters-en/ in this repository
• Site — https://l4tr0d3ctism.github.io/MLSecOps/

Highlights

• Ten lifecycle control points and release decision model
• LLM, RAG, Agent, MCP, Shadow AI, SOC, and governance
• Appendix E: Implementation Reference (templates, playbooks, architecture cards)