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AI SOC Compared

AI SOC COURSE

AI SOC course: handing the alert queue to an AI SOC, lesson by lesson

SHORT ANSWER

Ten lessons in three tracks: how an AI SOC works an alert, how to decide how much it does on its own, and how a lean team buys one. Each lesson takes a few minutes and links to the sources it uses. Start with the stages from alert to closed case if you are new to AI SOC platforms.

By The Alert Desk · AI SOC Compared · Published 2026-09-27 · Updated 2026-10-14

Track 1: How does an AI SOC work an alert?

  1. 01From alert to closed case: the stages an AI SOC claims to coverThe five stages of alert work and who does each.3 min read
  2. 02What a trustworthy AI SOC verdict containsEvidence, steps, confidence and a way to disagree.3 min read
  3. 03Where the agent reads your data: API queries, federated search and ingestQuery in place, search across stores, or copy the data in.3 min read
  4. 04Context that persists: memory and decision history in an AI SOCWhat a platform remembers about you, and why it matters.3 min read

Track 2: How much should it do on its own?

  1. 05Shadow mode first: running an AI SOC beside your analystsLet it recommend, compare, then decide.3 min read
  2. 06Five signals that an alert category is ready for more autonomyWhen to move a category up a step.3 min read
  3. 07Pulling autonomy back: rollback, drift and audit in an AI SOCFallback, kill switches and the weekly review.3 min read

Track 3: How does a lean team buy one?

  1. 08Pilot metrics for a small SOC: four numbers to trackAgreement, unfinished, review time, missed.3 min read
  2. 09Moving SOAR playbooks to an AI SOC: what to test after translation or rebuildTranslate, rebuild or keep: then test.3 min read
  3. 10Reading AI SOC pricing units and trust pages before the first callWhat is published, and what to ask for.3 min read