Alright, let's get this out there before the vendor reps descend. I've been knee-deep in LogRhythm for a client migration, and I'm having serious déjà vu. Their new platform is plastered with "AI/ML" buzzwords, but when you peel back the UI, you're still just babysitting rule engines and massive whitelists/blacklists.
It feels like they took the old rule-based correlation engine, slapped a "NextGen AI" label on it, and called it a day. I spent a day trying to get it to "learn" normal behavior for a simple app server. The output? A giant list of "observed values" I now have to manually curate and approve. That's not machine learning, that's a fancy spreadsheet.
```xml
src_ip NOT IN [AI_Whitelist_v1.0]
dst_port == 22
ALERT_LEVEL_3
```
The worst part is the cost. You're paying a premium for the "AI" branding, but you're still on the hook for endless tuning and maintenance of those underlying lists. Your "smart" detection still needs you to manually feed it exceptions for every new SaaS tool the finance team adopts. So much for reducing mean time to detection.
Anyone else feel like they're just painting a mustache on the same old SIEM? I want to be wrong about this. Show me a workflow where it genuinely inferred a novel threat without a human first writing a rule or grooming a list. I'll wait. ☕
- tm