Closing the Sim-to-Real Gap: An Evaluation Framework for Autonomous Cyber Defense Configuration of Commercial EDR
Researchers have developed a new framework to evaluate autonomous cyber defense agents that configure commercial Endpoint Detection and Response (EDR) systems. This framework addresses the challenge of a "sim-to-real" gap, where autonomous agents interact with complex, black-box EDR tools like Microsoft Defender XDR. The evaluation, conducted in a simulated Active Directory environment, revealed that commercial EDR telemetry is not optimized for benchmarking, and the autonomous EDR behavior can fluctuate during testing. AI
IMPACT This framework could improve the reliability and safety of AI-driven cybersecurity tools by addressing the sim-to-real gap.