The point: Effective SOC automation requires autonomous AI agents for rapid triage and copilots for complex analysis, not one without the other.
A Fortune 50 company is already using Claude for specific investigations in the Security Operations Center, but an architecture assessment shows that security teams achieve the greatest impact through a combination of autonomous AI agents and interactive analyst copilots.
A CISO at a Fortune 50 company is currently evaluating the integration of AI agents into their Security Operations Center. The company has already integrated Claude with several detection tools and is seeing measurable success in targeted investigations. The current approach focuses on autonomous AI agents for standardized tasks.
A deeper analysis of the planned SOC architecture, however, suggests that a two-tiered approach to AI functionality is more appropriate. On one hand, autonomous agents (System 1 thinking) that quickly process large volumes of data and recognize recurring patterns – for triage, prioritization, and initial context-setting. On the other hand, interactive copilots (System 2 thinking) that support analysts in complex investigations, enable deeper questioning, and foster decision-making under uncertainty.
This division addresses the difference between fast, serial routine tasks and slow, deliberate analysis. Autonomous agents handle the first stage at scale; analyst copilots enable deep analysis. For CISOs, this means AI in the SOC does not function as a pure autonomy play, but rather as a hybrid division of labor between machine and human analysts.
Source: thehackernews.com · Published 13 July 2026
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