Security · 3h ago
Model Choice, Not Prompt, Drives AI Agent Leak Risk
A small study found that system prompt leakage in AI agents varies dramatically by model, from 0% to 96% disclosure rates. The same prompts and attacks produced vastly different results across five models, showing model selection is a key security factor. The findings align with prior research, but the author cautions against overgeneralizing from limited data.
Meridian48 take
The study underscores that security in LLM applications is not just about prompt engineering; model architecture and training play a critical role, but the small sample size means these numbers should be treated as indicative, not definitive.
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Your AI agent's leak risk depends more on the model than the prompt →
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