AI agents are supposed to make life easier. They plan tasks, use tools, remember context, and take action without needing constant supervision. And most of the time, they do exactly that. Until they do not.
The AI Agent Attacker's Playbook is a practical, no-nonsense guide to understanding how modern AI agents actually fail - and how those failures turn into real security incidents. This book does not treat AI agents as magical assistants or abstract research projects. It treats them the way attackers already do: as autonomous systems with authority, memory, and goals that can be redirected, abused, and quietly taken over.
Inside, you will find real attack techniques used against agent-based systems in production:
Persistent Prompt Injection - how attackers embed instructions that survive across sessions, memory retrievals, and multi-step task chains
Long-Term Memory Poisoning - how corrupted memory entries silently redirect agent behavior across every future task that retrieves them
Tool Privilege Escalation - how agents are manipulated into calling tools with permissions far beyond what the original task required
Goal Hijacking - how attacker-controlled context gradually shifts agent objectives without triggering any visible error or safety response
Environment Exploitation - how misconfigurations in execution environments create pathways from agent compromise to full system access
Multi-Agent Attack Chains - how trust propagates across agent networks and how a single compromised agent poisons downstream decisions
Stealthy Compromise Techniques - why quiet, persistent manipulation is more dangerous than loud failures - and why it goes undetected far longer
Agent Takeover Methodology - the complete attacker workflow from initial reconnaissance to persistent control of autonomous agent behavior
Every chapter focuses on realistic attacker behavior, not theoretical edge cases. Each technique is framed through the lens of responsible red teaming, security assessment, and defensive improvement - so you understand not just how attacks work, but what they expose about the systems you build and defend.
The AI Agent Attacker's Playbook is Book 7 in the series:
The AI Security & Hacking Bible: Protect and Exploit LLMs and Autonomous Agents
If earlier titles - LLM Security in Practice, AI Threat Modeling, and The LLM Top 10 Security Guide - helped you understand where risks come from, this book shows you what happens when those risks are actively exploited. How AI Agents Work gave you the internals. Hardening AI Agents gave you the defenses. This book is the offensive companion to both - forming the attacker half of a complete agent security playbook. Building Bulletproof AI and AI Security Operations Guide follow with architecture and operational response built directly on what this volume exposes.
This book is for you if you are a:
- Red teamer or penetration tester expanding into autonomous AI agent assessment
- Security engineer who needs to understand offensive techniques before designing defenses
- Developer who wants to see exactly how the systems you build can be exploited
- Architect responsible for designing agent pipelines that must survive adversarial conditions
- Anyone who has ever said "the agent would never do that" - and needs to find out
Read it to understand the attacks. Reread it to prevent them.
