Just saw the announcement about OpenClaw adding AI for anomaly detection. I work mostly in marketing automation, so I'm trying to understand security tools from a practical ops side.
For those already using it, how's it working in real cloud environments? Does it flag too many false positives in normal dev activity? And can you actually tie the anomalies it finds back to a specific user or campaign for accountability?
I'm also coming from a non-security background in customer success, so I'm trying to learn about this. I share the concern about false positives in normal activity, because that's what usually kills adoption for my team.
Has anyone found the user attribution clear? When you say > tie the anomalies back to a specific user or campaign, is that something you can actually see in a dashboard, or does it require digging through logs? That's the part I never understand with these tools.