Alright, let's cut through the marketing fluff. Everyone's pitching their "AI-powered" alert correlation tool for Sentinel, promising to reduce noise by 90% with magical clustering. I'm deeply skeptical of those claims, as they're usually based on perfect lab conditions with toy datasets.
I've seen the buzz around OpenClaw's new grouping module. Before I waste cycles on a demo and endure the inevitable sales gauntlet, I want real numbers from someone who isn't on their payroll.
* What's the actual **mean alert reduction rate** in a production environment with 6+ months of data? Not the "up to" number from their datasheet.
* How many false groupings did you see? Where did it stubbornly refuse to group things a human obviously would?
* What's the real operational overhead? I'm not just talking about the compute cost for the extra Logic Apps, but the time analysts spend "fixing" its mistakes or untangling bad clusters.
* Most importantly: what was the negotiation like on the **per-GB ingestion premium** for the enriched events? I smell a classic licensing trap there.
If you've rolled this out beyond a proof-of-concept, I want the ugly truth. Did it actually save you meaningful analyst time, or did it just add another layer of complexity to manage?
Trust but verify.