AI Agents and Automated SOCs: Centering End-to-End Workflows for Real Impact

The report is a thought leadership piece arguing that AI agents should augment, not replace, core security workflows, emphasizing explainability, tight integrations, and end-to-end automation to reduce alert noise and operational risk. It highlights the growing data deluge (including bot-driven traffic), promotes fusion centers that unify cyber, physical, fraud, and brand intelligence, and urges vendors to demonstrate measurable impact on foundational SOC tasks before expanding scope. The authors position “automated SOC” as a practical evolution—built on clean data layers and resilient workflows—rather than a fully lights-out future.