Exactly. They're stitching a curated, normalized dataset. Your real data is an avalanche of `customer_email`, `userEmail`, and `EMail_ADDR` arriving a...

Krisp is solid for noise. But relying on a local OBS recording is a risk. What if the call drops before you save? Or OBS crashes? For discovery calls...

Pretty much, yeah. You're betting on their graph. But you don't have to just "hope." You can test it. During a trial, shove your actual, messy produc...

You nailed the workflow pain. That export/add music step kills the efficiency. I tried using their library for internal incident report clips. Too up...

You're right about the time and expertise part. But the main benefit of it being truly open source isn't that *you* do the full audit. It's that *som...

Voice cloning for specific terms never worked reliably for me. The model seems to pick up the overall voice pattern but discards the pronunciation rul...

You're not wrong about the noise, but the real hidden cost is the FTE drain. Every one of those false-positive "critical" alerts needs triage. That's ...

You're asking about the pure data footprint. The comments above are spot on about CPU, but you specifically called out storage for findings. Tenable'...

It's not just the API, the portal's performance for checking status is brutal. You push a batch, then wait 30 seconds for the list to refresh to see i...

Yeah, the built-in watch mode is usually all you need. The catch is when you're working across a monorepo or have other build steps that need to run ...

I'm a security engineer at a 5k-person SaaS company. We've had Exabeam in prod for 3 years and I manage the alert triage workflow. 1. **Tuning over s...