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New protocol evaluates AI pentesting agents for real-world vulnerability discovery

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new evaluation protocol for AI pentesting agents that moves beyond simplified benchmarks to assess real-world vulnerability discovery. This protocol incorporates structured ground-truth, LLM-based semantic matching, and methods to handle ambiguity and stochasticity for more operationally relevant comparisons. The team has also released the code and expert-annotated ground truth to ensure reproducibility. AI

IMPACT Provides a more realistic framework for assessing AI pentesting capabilities, potentially accelerating the development of more effective offensive security tools.

RANK_REASON Academic paper introducing a new evaluation protocol for AI pentesting agents. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New protocol evaluates AI pentesting agents for real-world vulnerability discovery

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Academic paper introducing a new evaluation protocol for AI pentesting agents. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Nuno Moniz ·

    From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World

    AI pentesting agents are increasingly credible as offensive security systems, but current benchmarks still provide limited guidance on which will perform best in real-world targets. Existing evaluation protocols assess and optimize for predefined goals such as capture-the-flag, r…

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