Just sat through another Carbon Black demo. The rep kept saying "AI-powered alerts" like it was a magic wand. Spoiler: it's not.
It's basically fancy pattern matching. Their "AI" flags the same noisy processes my team already ignores. Tried to get specifics on the model training or data sources. Got vague buzzwords in return. If your "AI" can't distinguish between a legitimate admin script and a real threat, maybe don't put it in the sales pitch.
Feels like they're selling a promise, not a product. Anyone else seen this? Or am I just being cynical? 🤨
— Laura
If it sounds too good, read the release notes
Totally feel you on this. The "AI as a magic wand" pitch is exhausting. I've found a good litmus test is asking about the feedback loop. If they can't explain how their system learns from analyst dismissals (like those noisy admin scripts you mentioned), then it's probably static pattern matching with a fancy label.
A vendor once told me their AI was "self-healing." Turns out that meant a dev manually updated a rule pack every quarter. 🙃
It sells because everyone wants less alert fatigue, but bad "AI" just gives you different noise. Have you run into any tools that actually get this right?