Frontier AI models haemorrhage sensitive data

Estimated reading time: 3 minutes

Key takeaways:

• Enterprise AI agents leak sensitive data by design. Frontier models show violation rates up to 51% because LLMs can’t separate useful data from contextually inappropriate information.
• More capability means more leakage. 
• The model can’t police itself: least privilege access, context-aware filtering, and audit logs must be built in from the start. 

CTOs, engineering managers, and staff engineers are rushing to deploy autonomous AI agents across their businesses – either through their own volition or because of the clamor of demand from rank-and-file workers. However, they should think twice, a new study shows.

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