Torq SOC Brain: Adaptive AI Transforms Security Operations

Torq has launched SOC Brain, a new self-learning AI layer for its security operations platform. This innovation aims to help security teams manage increasing alert volumes more effectively. For managed service providers, this technology could boost analyst capacity and create opportunities for more specialized security services. SOC Brain combines past information with learned judgment. It adapts to how each security operations center evaluates risk, refining its understanding with every completed investigation. The system features three core capabilities: Recall, Reflex, and Retrospect. Recall uses matching to find historical cases, while Reflex continuously trains AI models based on a team's confirmed decisions. Retrospect imports past incidents, making historical knowledge immediately available. Torq's CTO states the goal is to reduce the cognitive burden on security teams. This helps shift more of the investigative workload from humans to the self-learning system.