Torq makes AI SOC investigations continuously self-learning
Torq has introduced Torq SOC Brain, a new layer of the Torq AI SOC Platform that continuously learns from historical investigations, analyst decisions, and organization-specific security operations to create a unified, self-learning AI SOC. While most autonomous investigation systems claim to be self-learning, they are, in reality, memory systems, they simply retrieve past cases and pass them to a language model at decision time. Torq SOC Brain is fundamentally different. It reasons from precedent, adapts … More → The post Torq makes AI SOC investigations continuously self-learning appeared first on Help Net Security .