Probabilistic Agentic Framework for Cybersecurity Orchestration

A recent publication on arXiv introduces a probabilistic framework for cybersecurity orchestration that conceptualizes decision-making as a meta-cognitive activity. This model breaks down cybersecurity tasks into collaborative agents tasked with detection, hypothesis generation, contextual understanding, explanation, and governance, all managed by a meta-cognitive judgment system. This system assesses uncertainty, disagreements among agents, and operational limitations to guide decision-making. This innovative approach overcomes the shortcomings of conventional Security Orchestration, Automation, and Response (SOAR) systems, which depend on fixed pipelines and threshold triggers, thus restricting effective decision-making in uncertain, partially observable, and adversarial scenarios. The document can be found under arXiv ID 2602.11897v3.