I built a Python library to stop AI agents from leaking secrets (ModelFuzz)
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I've been building AI agents lately, and honestly, their security model terrifies me. We give LLMs access to powerful tools like shell.run , http.post , and fs.read . But if an agent reads a malicious email or a poisoned webpage, it can be tricked by prompt injection into using those tools to exfiltrate data. Hoping the LLM refuses the attack isn't a real security strategy. So, I built ModelFuzz. It's an open-source Python library that intercepts the tool call at the execution layer. The…
1Key Takeaways
- I've been building AI agents lately, and honestly, their security model terrifies me.
- We give LLMs access to powerful tools like shell.run , http.post , and fs.read .
- But if an agent reads a malicious email or a poisoned webpage, it can be tricked by prompt injection into using those tools to exfiltrate data.
- Hoping the LLM refuses the attack isn't a real security strategy.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that i've been building AI agents lately, and honestly, their security model terrifies me.
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