Generative AI Testing Foundations: A Structured Method for Testing, Evaluating, and Governing Systems

TRUST-FIRST AI ASSURANCEGenerative AI broke the contract classical testing was built on.The same input can yield a different output, correctness becomes a matter of degree, and the worst failure is a fluent, confident, wrong answer no test case thought to ask about. This book supplies the method that closes the gap: seven trust attributes, a loop that runs from risk to metric to test to evidence, and gates that turn a quality judgment into a decision you can defend. Across four worked systems - a classifier, a retrieval-augmented advisor, a multi-agent orchestrator, and a workforce planner - it moves from failure modes and metrics through red-teaming and release governance to drift, observability, and incident response, then transfers the method into regulated sectors.Every standard and regulation is verified to primary sources and dated.Evidence over opinion - on every page.