Mobula · Autonomous Escalation
Every alert is
a judgment call.
We make it for you.
Every night shift faces the same dread: is this worth a phone call? Mobula makes that call for you - an AI verdict that decides escalation vs. let-it-ride. Fewer false alarms, zero missed real ones.
Twelve signals. One verdict.
Mobula reads every dimension of an alert - severity, entity history, time of day, attack pattern similarity, and more - then weighs them against your environment's baseline to produce a single escalation score.
Three outcomes. No grey area.
Every alert gets one of three verdicts: wake someone up, hold for the morning shift, or handle automatically. The threshold for each is configurable per customer, per alert type, and per time window.
| Alert | Score | Verdict | Notified | Time |
|---|---|---|---|---|
Ransomware staging on FIN-DB-03 svc-backup · 22 alerts | 92 | Wake up | CISO, SOC Lead | 03:14 |
Impossible travel - m.chen Identity · 5 alerts | 58 | Hold | Morning shift | 01:52 |
Port scan from 10.0.4.22 Network · 3 alerts | 21 | Auto-handle | None | 00:38 |
Kerberoasting attempt - DC-01 Credential · 9 alerts | 84 | Wake up | SOC Lead | 23:47 |
Failed login burst - p.alvarez Identity · 7 alerts | 45 | Hold | Morning shift | 22:11 |
Your team sleeps. Real threats don't slip through.
Alert fatigue is a security problem. When analysts are woken up for noise, they stop trusting the system - and real threats get ignored. Mobula calibrates continuously, learning which alerts in your environment are genuine.
Every decision, fully auditable
Every escalation verdict - wake, hold, or auto-handle - is logged with the full reasoning, the score, and the analyst response. Compliance teams love it. Post-incident reviews become straightforward.
AI-scored · three verdicts · fully auditable
Stop waking people up for noise.
Start waking them up for what matters.
Mobula reduces escalation noise by 94% while ensuring zero real threats slip through. Your team rests. When they are woken up, it counts.