Securing AI requires a system-level approach across models, data, identities, tools, infrastructure, and execution paths. This book shows how to apply Product Security and Secure SDLC principles to AI-enabled products, from RAG and agents to MCP, evaluations, supply chain risk, runtime controls, and governance, while building the fundamentals needed for a practical AI Product Security operating model.
Senior SDET work is architecture, not scripts. 18 chapters on Playwright and TypeScript at real scale — fixtures, API mocking, sharding, the Screenplay pattern — plus one Appium test driving both iOS and Android, schema-validated API testing, and performance end to end. Includes the complete, tested companion code, and 100% of author royalties fund peer-reviewed cancer-survivor research.