ManningBooks

ManningBooks

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AI Agents for Offensive Security (Manning)

AI is changing how offensive security workflows are designed, executed, and analyzed. AI Agents for Offensive Security: AI-powered attacks and how to stop them shows you how to build and use AI agents and multi-agent pipelines to support reconnaissance, triage, vulnerability discovery, reporting, agentic penetration testing, and Red Team/Blue Team workflows.

Mark Foudy

AI is starting to show up in security workflows in a very practical way. Not as a demo, but as something that can take on parts of the job people already do—recon, triage, reporting, even parts of penetration testing.

That shift is what AI Agents for Offensive Security is about.

The book looks at how to build and use agents that fit into day-to-day security work. You’ll start with a simple agent, then expand into multi-agent pipelines where different components handle specific tasks—collecting data, analyzing findings, prioritizing issues, and passing results along.

A few areas it gets into:

  • using agents to support reconnaissance and vulnerability discovery

  • structuring workflows with artifacts and pipelines so results don’t get lost

  • reducing manual triage by letting agents sort and interpret findings

  • building reporting flows that are easier to review and act on

  • keeping human oversight in the loop, especially for higher-risk actions

It also spends time on the parts that are easy to overlook. What controls do you need before letting an agent run in a real environment? How do you keep a clear audit trail? Where does automation introduce new risk instead of reducing it?

If you’re working in offensive security, red teaming, or even just exploring how AI fits into security tooling, this gives you a concrete starting point without pretending the problems are solved.


Don’t forget you can get 45% off with your Devtalk discount! Just use the coupon code “devtalk.com” at checkout :+1:

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