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title: Cybersecurity
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emoji: π
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colorFrom: blue
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colorTo: green
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sdk: gradio
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app_file: app.py
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pinned: true
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license: apache-2.0
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tags:
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- leaderboard
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short_description: 'Cybersecurity Capability Evaluation Results Collection
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sdk_version: 4.44.1
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---
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Paper
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}
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```
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---
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title: Frontier AI Cybersecurity Observatory
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emoji: π
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colorFrom: blue
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colorTo: green
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sdk: gradio
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app_file: app.py
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pinned: true
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license: apache-2.0
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tags:
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- leaderboard
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short_description: 'Cybersecurity Capability Evaluation Results Collection'
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sdk_version: 4.44.1
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---
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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.
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## Submit your benchmark
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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.
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## Paper & Blog
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Paper: https://arxiv.org/abs/2504.05408
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Blog: https://rdi.berkeley.edu/frontier-ai-impact-on-cybersecurity/
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## Survey
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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
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## Citation
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Please consider to cite the report if the resource is useful to your research:
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```BibTex
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@article{guo2025sok,
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title={{Frontier AI's Impact on the Cybersecurity Landscape}},
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author={Guo, Wenbo and Potter, Yujin and Shi, Tianneng and Wang, Zhun and Zhang, Andy and Song, Dawn},
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journal={arXiv preprint arXiv:2504.05408},
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year={2025}
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}
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```
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