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Stealing AI Reasoning Traces

High
Summary

Researchers have discovered a significant vulnerability in how large language model APIs handle reasoning traces, allowing attackers to extract proprietary model logic and steal sensitive data. By exploiting the interchangeability of encrypted reasoning blocks, they can bypass security measures and expose private information, including PII and credentials. The research team has released mitigations to address this issue and improve the security of these APIs.

Read the full article at Schneier on Security

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