Alexis Carlier, Zainab Ali Majid
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.
Stream overview
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.
Mentors
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.
Mentorship style
1 hour weekly meetings by default for high-level guidance. We will respond within a day to async communication.
Fellows we are looking for
Essential:
- Experience implementing AI model evaluations.
Preferred:
- At least one year of professional software engineering experience.
- Strong interest in AI cybersecurity.
Scholars can collaborate with other MATS scholars and can find collaborators on their own. Asymmetric Security staff may also engage deeply.
Project selection
We will assign the project direction; scholars will have significant tactical freedom.