"Policy-as-Code for GenAI: Enforcing Safety and Compliance in CI/CD"
Shipping GenAI safely isn't a matter of sprinkling "AI guidelines" on top of a pipeline—you're governing an evolving delivery system of models, prompts, tools, data, configurations, and the evidence that ties them together. This book is for experienced platform, security, and ML/LLMOps engineers, plus compliance-minded technical leaders, who need enforceable controls that keep pace with rapid iteration without turning releases into negotiation.
You'll learn to model GenAI artifacts and lifecycle stages precisely, then translate real risk—behavioral, security, privacy, and operational—into measurable controls and automated gates. The core of the book shows how to compile requirements into traceable policies, wire evaluations and red-teaming into CI/CD as first-class release criteria, and standardize evaluation outputs as verifiable policy inputs. It then connects policy engines (OPA/Rego as a reference), testing and rollout strategies, and integration points from Git events to deployment admission, all the way through runtime guardrails.
Along the way, you'll apply supply-chain security patterns—provenance, attestations, signing, and verification—to GenAI artifacts, and build audit-ready evidence packages and exception workflows that work in production. Expect practical, systems-level guidance, with strong emphasis on determinism, versioning, and operational ownership.
