LLM Architecture with Formal Guarantees for Autonomous Cyber Defense
A new research paper has unveiled a framework that utilizes tools to enhance autonomous cyber defense, ensuring stability and resilience in hostile environments. Designed specifically for security operations centers (SOCs), the system incorporates deterministic tools like Stackelberg best-response, Bayesian updates, and attack-graph components. Actions are managed through finite catalogs at the output interface of these tools. A composite Lyapunov function, validated in Lean 4 without any errors, confirms controllability, observability from uneven sensor data, and Input-to-State Stability (ISS) against clever adversaries. Additionally, two corollaries broaden the certification to any controller or adversary within the catalogs. The research findings are based on 282 real enterprise attack graphs, and you can find the paper on arXiv with the ID 2605.03034.
Key facts
- Tool-mediated LLM architecture for autonomous cyber defense
- Uses Stackelberg best-response, Bayesian observer updates, attack-graph primitives
- Finite action catalogs enforced at tool-output interface
- Composite Lyapunov function certified in Lean 4 with zero sorry
- Certifies controllability, observability, ISS robustness
- Two corollaries extend certificate to any controller or adversary
- Validated on 282 real enterprise attack graphs
- Published on arXiv: 2605.03034
Entities
Institutions
- arXiv