Building realistic defensive cybersecurity benchmarks. Asymmetric Security responds to real cyber incidents and therefore holds data not available in the public domain. We would like to work with MATS scholars to build realistic benchmarks grounded in these real cyber incidents.
Building Realistic Defensive Cybersecurity Benchmarks
Existing cybersecurity benchmarks lack realism, rarely testing how models behave in realistic security scenarios. This is especially challenging in cybersecurity because most relevant data is private.
Asymmetric Security responds to real cyber incidents and therefore holds data not available in the public domain. We would like to work with MATS scholars to build realistic benchmarks grounded in these real cyber incidents.
Alexis is the co-founder and CEO of Asymmetric Security. He was previously an AI security fellow at RAND and part of the founding team of GovAI.
Zainab is the co-founder of Asymmetric Security. She was previously a cybersecurity analyst at Stroz Friedberg, where she investigated some of the largest cybersecurity breaches of the past decade (e.g., Cambridge Analytica). She has also published at NeurIPS on AI cybersecurity evaluations. Zainab holds a master’s degree in Physics from Oxford University.
1 hour weekly meetings by default for high-level guidance. We will respond within a day to async communication.
https://www.irregular.com/publications/cyscenariobench
https://deepmind.google/blog/evaluating-potential-cybersecurity-threats-of-advanced-ai/
​​https://docs.google.com/presentation/d/1D1gWFuT6AT3kLOqM1xl5YHKPvAhJh-VW/edit?slide=id.p1#slide=id.p1
Essential:
Preferred:
Scholars can collaborate with other MATS scholars and can find collaborators on their own. Asymmetric Security staff may also engage deeply.
We will assign the project direction; scholars will have significant tactical freedom.