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Autonomous AI agents in offensive security blur the lines of accountability, making it easier for malicious actors to exploit their capabilities without clear attribution of responsibility.
A 4B parameter model can nearly match the privilege escalation performance of a state-of-the-art closed LLM like Claude Opus, while being fully local and 100x cheaper to run.
LLMs might be surprisingly capable penetration testers for enterprise networks, and this report provides the recipe to reproduce the original findings.
