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Agentic AI Under Attack: How to Find Security Risks, Test AI Agents, and Stop Attacks
Agentic AI Under AttackHow to Find Security Risks, Test AI Agents, and Stop Attacks
By James T. Wilson
What happens when an AI agent does more than answer questions? What if it can access company data, call external tools, browse websites, execute code, or make decisions with little human supervision? Could one hidden instruction, weak permission, or overlooked security flaw put your entire system at risk?
Welcome to the world of agentic AI, where greater autonomy creates new opportunities—and new security challenges.
Are your AI agents truly secure, or are you trusting them without knowing their weaknesses?
In Agentic AI Under Attack, you will discover how to identify security risks, test AI agents, uncover hidden weaknesses, and build stronger defenses before attackers exploit them. Whether you are a cybersecurity professional, AI engineer, software developer, security researcher, or technical leader, this practical guide helps you approach agentic AI security with greater confidence.
What would happen if an AI agent followed malicious instructions hidden inside a document? Could it reveal sensitive information, misuse an authorized tool, or perform an action it was never supposed to take? How would you detect an attack that develops across several interactions rather than a single request?
This book helps you ask the right questions before security failures become costly incidents.
Inside, you will learn how
Understand agentic AI architectures, workflows, memory, planning, and tool use.
Build threat models that reveal attack surfaces, trust boundaries, and critical assets.
Identify risks involving prompt injection, poisoned data, memory manipulation, and unauthorized tool access.
Apply least-privilege access, secure tool permissions, sandboxing, and human approval controls.
Plan and conduct authorized red team exercises in controlled environments.
Test AI agents connected to APIs, enterprise applications, cloud services, browsers, and coding tools.
Evaluate multi-agent systems and identify weaknesses in delegated permissions and inter-agent trust.
Automate security tests, measure results, and detect regressions before deployment.
Improve monitoring, incident response, forensic investigation, and security reporting.
Apply governance, supply chain security, risk assessment, and continuous testing to real-world AI systems.
But finding a weakness is only half the challenge. Can you prove the risk, measure its impact, and recommend a fix that actually works? This guide connects security testing with practical remediation, helping you turn findings into meaningful improvements.
You will also explore realistic assessment scenarios, reusable testing approaches, and lessons for building a repeatable security program. The emphasis is on authorized testing, clear evidence, responsible assessment, and defenses that remain useful as AI systems evolve.
You do not need to assume every AI agent is dangerous. You need to understand what it can access, what it can do, where trust can fail, and how to limit the damage when something goes wrong.
The question is not whether your AI agents can perform powerful tasks. It is whether they can perform those tasks safely.
Are you ready to look beyond the promises of autonomous AI and examine its real security risks?
Get your copy of Agentic AI Under Attack today and start building the skills to test AI agents, uncover weaknesses, and strengthen your defenses before attackers find the gaps.
By James T. Wilson
What happens when an AI agent does more than answer questions? What if it can access company data, call external tools, browse websites, execute code, or make decisions with little human supervision? Could one hidden instruction, weak permission, or overlooked security flaw put your entire system at risk?
Welcome to the world of agentic AI, where greater autonomy creates new opportunities—and new security challenges.
Are your AI agents truly secure, or are you trusting them without knowing their weaknesses?
In Agentic AI Under Attack, you will discover how to identify security risks, test AI agents, uncover hidden weaknesses, and build stronger defenses before attackers exploit them. Whether you are a cybersecurity professional, AI engineer, software developer, security researcher, or technical leader, this practical guide helps you approach agentic AI security with greater confidence.
What would happen if an AI agent followed malicious instructions hidden inside a document? Could it reveal sensitive information, misuse an authorized tool, or perform an action it was never supposed to take? How would you detect an attack that develops across several interactions rather than a single request?
This book helps you ask the right questions before security failures become costly incidents.
Inside, you will learn how
Understand agentic AI architectures, workflows, memory, planning, and tool use.
Build threat models that reveal attack surfaces, trust boundaries, and critical assets.
Identify risks involving prompt injection, poisoned data, memory manipulation, and unauthorized tool access.
Apply least-privilege access, secure tool permissions, sandboxing, and human approval controls.
Plan and conduct authorized red team exercises in controlled environments.
Test AI agents connected to APIs, enterprise applications, cloud services, browsers, and coding tools.
Evaluate multi-agent systems and identify weaknesses in delegated permissions and inter-agent trust.
Automate security tests, measure results, and detect regressions before deployment.
Improve monitoring, incident response, forensic investigation, and security reporting.
Apply governance, supply chain security, risk assessment, and continuous testing to real-world AI systems.
But finding a weakness is only half the challenge. Can you prove the risk, measure its impact, and recommend a fix that actually works? This guide connects security testing with practical remediation, helping you turn findings into meaningful improvements.
You will also explore realistic assessment scenarios, reusable testing approaches, and lessons for building a repeatable security program. The emphasis is on authorized testing, clear evidence, responsible assessment, and defenses that remain useful as AI systems evolve.
You do not need to assume every AI agent is dangerous. You need to understand what it can access, what it can do, where trust can fail, and how to limit the damage when something goes wrong.
The question is not whether your AI agents can perform powerful tasks. It is whether they can perform those tasks safely.
Are you ready to look beyond the promises of autonomous AI and examine its real security risks?
Get your copy of Agentic AI Under Attack today and start building the skills to test AI agents, uncover weaknesses, and strengthen your defenses before attackers find the gaps.
496 pages, Paperback
Published October 26, 2026
About the author
James T. Wilson
10 books67 followersMy name is Tracy Wilson and I am the creator of Zombie Bytes. This is my first adventure into the zombie apocalypse genre. While I was never a big fan of zombies, this type of story telling grew on me from several different sources- one of them being Adrian's Undead Diary.
Writing and telling a decent story has always been a passion of mine ever since High School. And somehow between family, work I manage to bring the characters in my head to life.
I live and work in Little Rock
It is my sincerest hope that you will enjoy what I have written!
Writing and telling a decent story has always been a passion of mine ever since High School. And somehow between family, work I manage to bring the characters in my head to life.
I live and work in Little Rock
It is my sincerest hope that you will enjoy what I have written!
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