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Inside Elastic's agentic SOC: How we took AI alert triage from 60% to 92% accuracy

Elastic Security Labsby Maggie Musquez ()3
AI summary · glm-5.3-flashSummaries by Vani AI

Elastic's InfoSec team raised AI alert-triage accuracy from 60% to 92% using three self-correcting agents integrated into Slack triage.

Elastic's InfoSec team deployed three AI agents that read detection-rule investigation guides and closure reasons from 30 days of historical cases to triage alerts. The agentic pipeline lifted triage accuracy from 60% to 92%. Analysts now clear most alerts with a single click in Slack.

Key facts
  • Three agents read investigation guides and closure reasons
  • Accuracy improved from 60% to 92%
  • Trained on 30 days of past case data
  • Most alerts now cleared with one click in Slack
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From the original article

Elastic's InfoSec team runs three agents that read the detection rule's investigation guide and the closure reasons on 30 days of past cases. Analysts now clear most alerts with a single click in Slack.

Elastic Security Labs

By Maggie Musquez · elastic.co

Read the full article at Elastic Security Labs

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.