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Thinking Fast and Slow in the SOC: The Case for Combining Autonomous AI with Analyst Copilots

  • Posted on July 13, 2026
  • By The Hacker News
  • 0 Views
  • 1 min read
In brief

Enterprise security operations face unprecedented alert volumes, yet advanced AI automation proves capable of handling 98% of incidents independently. This research examining 25 million real-world alerts reveals a paradigm shift in SOC efficiency. By leveraging autonomous AI systems for routine threat detection and response, security teams can redirect human expertise toward complex investigations and strategic decision-making. The emerging hybrid model combines machine-driven automation with intelligent analyst support tools, maximizing operational capacity while maintaining security effectiveness.

Summary auto-generated by AI from the original publisher's content. Editorial standards.

Thinking Fast and Slow in the SOC: The Case for Combining Autonomous AI with Analyst Copilots
Thinking Fast and Slow in the SOC: The Case for Combining Autonomous AI with Analyst Copilots

Research on 25 million enterprise alerts finds 98% can be resolved autonomously, leaving less than 2% of SOC cases for human analyst review.
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Author
The Hacker News

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