3 papers
cs.LG2026
Distilling Knowledge from Large Language Models into Lightweight Reinforcement Learning Agents for Autonomous Cyber Operations
Konur Tholl, François Rivest, Mariam El Mezouar +2
Autonomous Cyber Operations (ACO) are increasingly important for defending enterprise networks as cyber threats continue to evolve in sophistication. ACO applications commonly empl…
cs.CR2026
Learning Communication Between Heterogeneous Agents in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
Alex Popa, Adrian Taylor, Ranwa Al Mallah
Reinforcement learning techniques are being explored as solutions to the threat of cyber attacks on enterprise networks. Recent research in the field of AI in cyber security has in…
cs.CR2026
Before You Hand Over the Wheel: Evaluating LLMs for Security Incident Analysis
Sourov Jajodia, Madeena Sultana, Suryadipta Majumdar +2
Security incident analysis (SIA) poses a major challenge for security operations centers, which must manage overwhelming alert volumes, large and diverse data sources, complex tool…