This playbook focuses on governing AI coding assistants without slowing developers down. It argues that AI-generated code increases velocity but also introduces significant security risk, so organizations need embedded guardrails instead of late-stage fixes. The ebook lays out a maturity model from unmonitored AI usage to adaptive, policy-driven governance. It then explains how guardrails should work across IDEs, MCP-based code generation, pull requests, and CI/CD pipelines. A major section covers developer adoption, recommending carrot-first rollouts, trust-but-verify telemetry, secure-by-default environments, and conditional access controls. It also introduces AI-BOMs, agentic governance, and the roles of Snyk Guard, Agent, Assist, and Studio in building secure, scalable AI-assisted deve

Join for free to read