Kim-Hammar/csle
A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.
This platform helps cybersecurity researchers and professionals develop and evaluate automated security policies. You can input descriptions of large-scale IT infrastructures and cyber attacks, and it outputs data and insights on how different security policies perform against those threats. It is designed for cybersecurity researchers, security engineers, or security policy analysts who work with quantitative methods.
142 stars.
Use this if you need to create, test, and refine automated cyber security policies within a realistic, emulated network environment.
Not ideal if you are looking for an out-of-the-box security solution rather than a research and development platform for policies.
Stars
142
Forks
27
Language
Python
License
—
Category
Last pushed
Mar 25, 2026
Commits (30d)
0
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