Published 23/03/2026

Top 10 Security Risks in AI Agents Explained

Title: Top 10 Security Risks in AI Agents Explained

Have you ever felt like you’re building on shifting sand? You’ve finally integrated AI agents into your workflow, and everything seems faster—but there’s a nagging voice in the back of your head.

Is that agent actually doing what it’s supposed to do? Or is it quietly opening a backdoor you didn’t even know existed?

Ignoring these vulnerabilities isn’t just a minor technical debt; it’s a ticking time bomb. From goal hijacking to memory poisoning, a single “rogue agent” can turn your newfound efficiency into a full-scale security catastrophe.

Without a clear map of the threats, you’re essentially flying blind in a storm.

That’s why you need to see this breakdown by Jeff Crume. He dives deep into the OWASP Top 10 security risks specifically tailored for AI agents, giving you the shield you need for your systems.

You’ll discover how simple inputs can lead to total system takeovers and why “memory” in AI isn’t as safe as you think. We won’t spoil the details, but some of these risks are likely hiding in your code right now.

By the end of this video, you won’t just be building AI; you’ll be building secure AI that you can actually trust.

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