Agent Red Teaming (ART) benchmark C
AI benchmark
- Publisher
- Gray Swan AI
- On X
- @GraySwanAI ↗
- Tier
- C why
- Snapshot
Full listing name: Agent Red Teaming (ART) benchmark, from Security Challenges in AI Agent Deployment, with UK AISI
Latest from Gray Swan AI on X
@GraySwanAI ↗What is Agent Red Teaming (ART) benchmark?
ART measures how robust LLM-powered AI agents are against curated high-impact prompt-injection attacks that elicit deployment policy violations.
Security mostly
“We use these results to build the Agent Red Teaming (ART) benchmark - a curated set of high-impact attacks - and evaluate it across 19 state-of-the-art models.”
arxiv.org/abs/2507.20526 ↗
Paper: arxiv.org/abs/2507.20526 ↗
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
- in curated RL directories (2 pts)
How we got to tier C
- Adoption: built by Gray Swan AI. Tier C.
- Not yet read on X.
- In curated RL directories: 2 points, a floor of 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.
Training methods
Methods Agent Red Teaming (ART) benchmark uses, offers or builds for, with public evidence: its own website says so, or two independent sites do.
- RLHF Reinforcement Learning from Human Feedback On its own website
“From automated testing, human experts, and crowdsourced intelligence, you need a continuous stream of adversarial findings to inform guardrail design, RLHF, and post-training safety work.”
grayswan.ai
Where Agent Red Teaming (ART) benchmark 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.