A practical guide to adversarial machine learning for engineers, security teams, and technology leaders: how attackers evade, poison, and steal from machine learning and generative AI systems, and the layered defenses, from adversarial training to secure MLOps, that reduce risk without promising complete security.

AI security protects models, data, prompts, and AI agents from misuse and failure. Here's what it means and how to do it right.