How to Protect Your AI Agents from Prompt Injection Attacks: An Active Defense Approach

I’ve spent the past week locked in a room (figuratively, mostly) building a solution for a problem that’s been bugging me since the last AI security hackathon: prompt injection.

We all know the standard way to protect an LLM agent. You put up a filter. It looks for "ignore all previous instructions," and if it finds a match, it drops the request. But here’s the reality — if you’re dealing with an autonomous AI attacker, a simple "access denied" is just a hint for the bot to pivot and try a different jailbreak. It’s an endless game of whack-a-mole that costs the defender more time than the attacker.

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