AI RESEARCH
Agentic AI for Cybersecurity: A Meta-Cognitive Architecture for Governable Autonomy
arXiv CS.AI
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ArXi:2602.11897v3 Announce Type: replace-cross Cybersecurity decision-making increasingly occurs in environments characterized by uncertainty, partial observability, and adversarial manipulation, where heterogeneous signals from multiple sources are often incomplete, ambiguous, or conflicting. Traditional Security Orchestration, Automation, and Response (SOAR) systems rely on deterministic pipelines and threshold-based triggers, limiting their ability to reliable decision-making under such conditions.