| Tracking AI capabilities in cybersecurity is essential for understanding emerging impacts and risks. Our Frontier AI Cybersecurity Observatory provides a centralized platform that aggregates relevant benchmarks, enabling the community to more easily monitor and assess the evolving cybersecurity capabilities of AI systems. | |
| ## Submit your benchmark | |
| This leaderboard is a collection of cybersecurity-relevant benchmarks. To submit your benchmark, please use this: https://docs.google.com/forms/d/e/1FAIpQLSd0arYQ0xy9FpGbXwu68rAFpCm0HNb-8ZK8Mma3Ru2oa2Astg/viewform. We will regularly update this leaderboard. | |
| ## Paper & Blog | |
| Paper: https://arxiv.org/abs/2504.05408 | |
| Blog: https://rdi.berkeley.edu/frontier-ai-impact-on-cybersecurity/ | |
| ## Survey | |
| We're also launching an expert survey on this topic. We invite all AI and security researchers and practitioners to take the survey here: https://berkeley.qualtrics.com/jfe/form/SV_6zmYIqEyv7bfOrs | |
| ## Citation | |
| Please consider to cite the report if the resource is useful to your research: | |
| ```BibTex | |
| @article{guo2025sok, | |
| title={{Frontier AI's Impact on the Cybersecurity Landscape}}, | |
| author={Guo, Wenbo and Potter, Yujin and Shi, Tianneng and Wang, Zhun and Zhang, Andy and Song, Dawn}, | |
| journal={arXiv preprint arXiv:2504.05408}, | |
| year={2025} | |
| } | |
| ``` |