Introducing the Red-Teaming Resistance Leaderboard

Advancing red teaming with people and AI

Advancing red teaming with people and AI

Introducing the Open FinLLM Leaderboard

GPT-Red: Automated Red Teaming via Self-Play at Scale

arXiv:2607. 26115v1 Announce Type: cross Abstract: We introduce \textbf{GPT-Red}, an automated red-teaming agent that is trained to discover novel prompt injection attacks against frontier LLMs.

Open LLM Leaderboard: DROP deep dive

Introducing the Open Chain of Thought Leaderboard

Introducing the Open Leaderboard for Japanese LLMs!

Community Evals: Because we're done trusting black-box leaderboards over the community

An Introduction to AI Secure LLM Safety Leaderboard

GPT-Red: Unlocking Self-Improvement for Robustness

Explore GPT-Red, OpenAI’s automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness.

Beyond Pass/Fail: Using Process Mining to Understand How LLMs Resist (and Fail) Red Team Attacks

arXiv:2606. 07833v1 Announce Type: cross Abstract: Standard AI red teaming evaluations reduce adversarial campaigns to a single binary outcome, attack success rate (ASR), not taking into account the sequential structure of how models resist or yield to attacks.

Introducing the Enterprise Scenarios Leaderboard: a Leaderboard for Real World Use Cases

JailbreakSkill: Scaling Automated Red-Teaming with Reusable and Ever-Evolving Skills

arXiv:2608. 16465v1 Announce Type: new Abstract: Automated red-teaming has produced a growing collection of attack strategies, yet they typically remain scattered across prompts and workflows, making them difficult to systematically integrate, reuse, and improve at scale.