Your AI agents don't just answer anymore. They plan, call tools, hold credentials, and act - across your infrastructure, your data, and increasingly, across each other. When one gets it wrong, the damage isn't a bad sentence. It's an executed action: a deleted database, a leaked credential, a compromised production system.Most security teams are defending this new reality with tools built for the old one.Multi-Agent Systems Security is a complete, incident-anchored guide to closing that gap - built entirely around real, disclosed, dated breaches, not hypothetical scenarios. Every one of the ten risk categories in this book is grounded in an actual event: the zero-click Microsoft Copilot exploit that redefined prompt injection, the coding assistant weaponized through its own legitimate tools, the AI agent that deleted a production database during an explicit freeze, and the state-sponsored campaign that ran 80% of a real espionage operation autonomously before being caught.Inside, you'll find: The complete OWASP Top 10 for Agentic Applications - each category with a real incident, a working attack walkthrough, concrete design patterns, and production-ready codeFull architecture patterns for identity management, sandboxing, dependency tracking (AIBOM), and observability built specifically for autonomous agents - not adapted from human-user securityDirect compliance mapping to the EU AI Act (including the 2026 regulatory delay most current guidance hasn't caught up to), ISO/IEC 42001, NIST AI RMF, SOC 2, and DORA - turn one set of controls into evidence for every framework your auditors actually ask aboutA complete red-teaming methodology, incident response playbook, and organizational maturity model for operating agentic systems safely at scaleReal, working Python implementations throughout - policy enforcement layers, credential brokers, kill switches, and correlation logic you can adapt directlyThis isn't a book about building multi-agent systems - plenty of good ones exist for that. This is the book for what happens after you've built one: how it gets attacked, how it fails, and exactly what stands between a wrong decision and a real incident.If you're responsible for an AI agent that can take real action in the real world, this book tells you - with receipts - what's actually at stake, and exactly what to build first.Scroll up and get your copy today.This book is provided for informational and educational purposes. It does not constitute legal advice; readers should independently verify current regulatory deadlines before relying on it for compliance decisions.
