AI & Machine Learning

An Attacker's Multi-Agent Framework Stole Thousands of Credentials in Under Six Hours

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A sophisticated multi-agent framework, developed using AI tools, successfully stole thousands of credentials in under six hours by autonomously managing reconnaissance, exploitation, and cleanup. This highlights a significant shift in cyber threats, where the same reliability engineering that makes helpful agents useful also makes attack pipelines resilient and human-intervention-free. Organizations must now treat agent-accessible credentials as high-value targets and adapt detection methods beyond IP-based anomaly detection.

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