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

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
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
- Adoption: built by Gray Swan AI; no proper name (a paper title or description). Tier D.
- Not yet read on X.
- In curated RL directories: 2 points, a floor of C. Raised to C.
- 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
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.