AI Soc autonomy sounds great, but what happens when it closes the wrong alert?
I am looking at AI SOC and agentic SOC tools because our queue has become a part time lifestyle choice. Every vendor demo has the AI investigate alerts, enrich evidence, and resolve the obvious stuff while humans focus on the exciting task of explaining budget cuts. The part I'm stuck on is autonomous resolution. I'm fine with deduping, enrichment, and maybe blocking a known malicious IP. I'm less comfortable with agents taking high-impact actions like disabling accounts or isolating production, even at high confidence, without a human in the loop. How are people setting approval gates, audit trails, and rollback for this without turning the AI into another ticket queue with better branding? Would love real experiences, especially from teams that let it act in prod. From what I've seen, the better setups run investigation fully automated against a context graph, close confirmed false positives automatically with a documented rationale, and still require a human to approve consequential actions like isolation or account disablement. The guardrails are defined before anything runs, not bolted on after something goes wrong. If anyone has actually run it that way. thnxx..