Artificial Analysis launches Cyber Index Alliance to benchmark AI agents on cyber defense
Artificial Analysis introduced the Artificial Analysis Cyber Index Alliance, a partnership with Collinear, IBM, Nvidia, and Vercel to create a standardized benchmark for evaluating AI agents in enterprise cyber defense tasks. The initiative launches alongside the Artificial Analysis Cyber Index, which combines three open-source evaluations—CWE-Bench-AA, DeepsecBench-AA, and CyberGym-E2E-AA—to…
Key points
- Cyber Index Alliance partners with **Collinear**, **IBM**, **Nvidia**, and **Vercel** to benchmark AI agents on cyber defense tasks
- Three open-source evaluations test vulnerability discovery, patching, and memory-safety fixes in source code
- Models like **GPT-6 Sol** and **GPT-6 Astra** excel at detecting sequence-of-events vulnerabilities, but most fail on complex bugs
The benchmarks focus on real-world scenarios like auditing open-source repositories for OWASP Top 10 (2025) vulnerabilities, identifying scanner-flagged issues, and fixing memory-safety bugs in projects like FFmpeg or CPython. Models are scored on their ability to complete the defensive loop—finding weaknesses, validating them, and applying patches—while also tracking refusals due to safety concerns. GPT-6 Sol and GPT-6 Astra stand out in detecting sequence-of-events vulnerabilities, but most models struggle with complex bugs requiring multi-step reasoning. The alliance plans to expand the index with incident response and other capabilities over time.
Model pages: GPT-6 Sol → · GPT-6 Astra → · Claude Fable 5.1 →
Artificial Analysis launches the Cyber Index Alliance in partnership with Collinear, IBM, Nvidia, and Vercel to benchmark AI agents on cyber defense tasks
artificialanalysis.ai · 25 September 2026
Loading the full article…
This text was published by artificialanalysis.ai and written by Artificial Analysis. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
More in Research
All →- OpenAI contractors fired for using banned AI tools on ChatGPT review tasks · 1 src
- Zhipu automates infrastructure with GLM-5.3’s outer RSI loop in under two weeks · 1 src
- Anthropic misses self-imposed safety deadline for provable-inference prototype · 1 src
- Anthropic reports 26% of R&D reaches AI-led stage with 30,000 agents · 3 src
- OpenAI claims new model solved Navier-Stokes and 100+ math problems · 2 src
Comments
via GitHub Discussions