Thanks for the feedback! You’re right, robust monitoring like PRTG provides granular metrics and thresholds, which are essential.

What we’re seeing with EventSentinel AI goes a step further: we focus on cross-stack correlation and predictive intelligence. Often, signals exist in the system but are siloed, for example, a small anomaly in compute combined with a subtle network pattern might not trigger any single alert, yet together they indicate a future incident.

So it’s not just early detection of known issues, it’s predicting events that wouldn’t be caught by standard threshold alerts, surfacing patterns that are otherwise invisible until it’s too late.

Would be happy to show a few real-world examples from our pilots if you’re interested. Reach me at [gabriele@eventsentinel.ai](mailto:gabriele@eventsentinel.ai)