Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing C

AI benchmark

Publisher
Gray Swan AI
On X
@GraySwanAI ↗
Tier
C why
Snapshot

Open benchmark ↗grayswan.ai/research

Full listing name: Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing / ARTEMIS

Latest from Gray Swan AI on X

@GraySwanAI ↗

What is Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing?

Evaluates AI agents against human cybersecurity professionals on penetration testing of a live university network of ~8,000 hosts, scoring valid vulnerabilities found and submission quality.

  • Security mostly

    “We present the first comprehensive evaluation of AI agents against human cybersecurity professionals in a live enterprise environment.”
    arxiv.org/abs/2512.09882 ↗

Who built Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing

Led by Stanford University.

    Paper: arxiv.org/abs/2512.09882 ↗

    Tier C

    C

    Niche: a handful of models scored, or built by an RL vendor.

    How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.

    • built by Gray Swan AI
    • no proper name (a paper title or description)
    • in curated RL directories (2 pts)
    How we got to tier C
    1. Adoption: built by Gray Swan AI; no proper name (a paper title or description). Tier D.
    2. Not yet read on X.
    3. In curated RL directories: 2 points, a floor of C. Raised to C.
    4. Confirmed: a line from its own site or paper places it.

    A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.

    Where Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing sits

    Its realm in the universe, live. Hover a star for its name; click to open it. Open it in the universe

    The galaxy could not load. See every vendor on the board.

    Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.