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Episode 134: XBOW - AI Hacking Agent and Human in the Loop with Diego Djurado

Critical Thinking - Bug Bounty Podcast

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Navigating AI Reasoning and Vulnerabilities

This chapter explores the intricacies of analyzing AI reasoning traces, highlighting discrepancies between model claims and actual reasoning. The discussion covers the challenges of detecting vulnerabilities in AI systems, focusing on balancing accuracy and false positive rates, and innovative approaches to enhance detection. Additionally, it delves into the technical aspects of implementing authentication in Python scripts and the architecture of their hacking system.

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