Library / Artificial Intelligence

AI Agents & LLMs 2026: AI Agent Security & Guardrails

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About this course

This course contains the use of artificial intelligence.

That is not a disclaimer — it is part of the point. The slides and the voice narrating the lectures were produced with AI tools, but every script was written and fact-checked by a human instructor with real hands-on experience. Think of the AI as the production crew; the teaching is human.

The moment you let an AI agent act — use tools, read the web, run code — you've built something powerful. And anything powerful can be turned against you.

The scary part? An attacker doesn't need to hack your server. They just need to say the right words, in the right place, and your own agent becomes their weapon.

This course is how you defend against that.

What you will learn:

  • AI Agent Security and Guardrails is a clear guide to keeping capable agents safe.

You'll understand prompt injection — direct and indirect — and the lethal trifecta that turns it catastrophic. You'll understand how to use input and output guardrails, apply the principle of least privilege, and design defense in depth so a single failure can't become a disaster. And you'll red-team, monitor, and respond like a professional.

What this course covers, module by module:

Why Agent Security Is Different; The Threat Landscape; Prompt Injection; Indirect Injection & the Lethal Trifecta; Jailbreaks & Guardrail Evasion; Data Leakage & Privacy; Excessive Agency & Unsafe Actions; Tool & Supply-Chain Risks; Input Guardrails; Output Guardrails; The Principle of Least Privilege; Defense in Depth & Architecture; Testing, Red-Teaming & Monitoring.

Who this is for:

  • This is for anyone building agents that touch real users, real data, or real money — where "it works" is not the same as "it's safe to deploy."

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