Papers › Dynamic Risk Assessments for Offensive Cybersecurity Agents

Dynamic Risk Assessments for Offensive Cybersecurity Agents

23 May 2025arXiv:2505.18384archive 2025-07-28

Boyi Wei, Benedikt Stroebl, Jiacen Xu, Joie Zhang, Zhou Li, Peter Henderson

Foundation models are increasingly becoming better autonomous programmers, raising the prospect that they could also automate dangerous offensive cyber-operations. Current frontier model audits probe the cybersecurity risks of such agents, but most fail to account for the degrees of freedom available to adversaries in the real world. In particular, with strong verifiers and financial incentives, agents for offensive cybersecurity are amenable to iterative improvement by would-be adversaries. We argue that assessments should take into account an expanded threat model in the context of cybersecurity, emphasizing the varying degrees of freedom that an adversary may possess in stateful and non-stateful environments within a fixed compute budget. We show that even with a relatively small compute budget (8 H100 GPU Hours in our study), adversaries can improve an agent's cybersecurity capability on InterCode CTF by more than 40\% relative to the baseline -- without any external assistance. These results highlight the need to evaluate agents' cybersecurity risk in a dynamic manner, painting a more representative picture of risk.

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compute_pass_k_bootstrap boyiwei/dynamic-risk-assessment/analysis/grade_benchmark.py official repository unverified MIT (permissive) · 6c524fa2a0de7d8d · report
compute_seq_length boyiwei/dynamic-risk-assessment/analysis/compute_seq_length.py official repository unverified MIT (permissive) · 05c8f2e36d06eee0 · report
get_examples boyiwei/dynamic-risk-assessment/run_evaluation.py official repository unverified MIT (permissive) · 07105a13d005394c · report
get_low_confidence_task_list boyiwei/dynamic-risk-assessment/analysis/success_task_freq.py official repository unverified MIT (permissive) · 080a31e60f425571 · report
grade_benchmark boyiwei/dynamic-risk-assessment/analysis/grade_benchmark.py official repository unverified MIT (permissive) · c4b3d2103d4bce94 · report
pass_at_k boyiwei/dynamic-risk-assessment/analysis/grade_benchmark.py official repository unverified MIT (permissive) · 31dac9f8d6c131b8 · report
successful_task_freq boyiwei/dynamic-risk-assessment/analysis/success_task_freq.py official repository unverified MIT (permissive) · cb323a230e975d41 · report
successful_task_freq_intercode boyiwei/dynamic-risk-assessment/analysis/success_task_freq.py official repository unverified MIT (permissive) · f9c8a8c734676590 · report
truncate_input_to_max_tokens boyiwei/dynamic-risk-assessment/analysis/convert_traj_to_chat.py official repository unverified MIT (permissive) · b5b40db141419585 · report

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