SIEM detects and SOAR runs playbooks, but both still lean on human analysts and brittle scripts. Autonomous SecOps is the next step: reasoning about a threat and responding, within governance, not just executing a fixed runbook.
SIEM is strong at collecting and correlating security data and raising alerts; SOAR is strong at automating a predefined response playbook. Both are valuable, and both hit the same wall: SIEM hands a flood of alerts to analysts, and SOAR only does what its playbooks anticipated. Neither reasons about a novel threat, and the analyst remains the bottleneck for anything unfamiliar.
A SOAR playbook encodes a known response to a known situation, which is exactly why it is fragile against attacks that do not match the script. Real threats vary, and a fixed playbook either does not fire or fires the wrong response. What is missing is the ability to reason about an unfamiliar situation and choose an appropriate action, the step from automation to autonomy.
Autonomous SecOps applies agentic reasoning to security: investigate the threat, decide a response, act, and validate, within strict guardrails. The governance requirement is, if anything, higher in security, so scoped permissions, approval gates, reversibility and audit are essential. Done right, it moves the analyst from processing alerts and maintaining playbooks to supervising an autonomous responder.
Ops Singularity brings agentic reasoning to security operations: Sentinel AI investigates a threat, decides and acts through governed, reversible Action Tickets with Sherlock validating, and escalates the genuinely novel to analysts, moving beyond brittle SOAR playbooks while keeping the governance security demands.
SOAR executes predefined playbooks against known situations; autonomous SecOps reasons about unfamiliar threats and chooses a response, within governance, rather than relying on a fixed script.
It is when governed: scoped permissions, approval gates, reversibility and audit, which matter even more in security than elsewhere.
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