An AI SOC Evaluation Guide for Security Leaders

The article discusses the challenges and considerations for evaluating AI-powered Security Operations Center (SOC) solutions, emphasizing the gap between vendor promises and real-world performance. It highlights that while AI SOC tools show potential in automating threat detection and response, many fail in production due to misalignment with team workflows, lack of contextual data, and durability issues. The guide recommends a structured evaluation framework focusing on verdict accuracy, operational fit, long-term reliability, and lessons from practitioners. No specific threat actor, malware, or attack campaign is described.

AI-extracted · verify before operational use