Products  /  UEBA
User & Entity Behavior Analysis

UEBA

Stop insider threats before they escalate. Our system uses advanced machine learning to map normal user behavior and flag dangerous anomalies in real-time.

UEBA · BEHAVIOR ANALYTICS LIVE
ANOMALIES FLAGGED · 24H
14
RISK SCORE · BY USER
Machine Learning Multi-Cloud Real-Time
The Challenge

Insider threats, compromised accounts, and credential misuse rarely trip a traditional alert. The activity looks like a normal login, right up until it escalates into a real incident. By then, a compromised account has often had free run of the environment for days.

Key capabilities

What UEBA does for you.

01
Catch the threats inside

Instantly catches compromised accounts, credential misuse, and privilege abuse.

02
See everywhere

Full visibility across remote, hybrid, and multi-cloud environments: AWS, Azure, GCP, and Microsoft 365.

03
Learns your baseline

Machine learning maps what normal looks like for every user, so real anomalies stand out.

How it works

From normal behavior to a flagged risk.

1
Learn normal

Machine learning maps what typical behavior looks like for every user and entity.

2
Flag anomalies

Deviations surface in real time, across remote, hybrid, and multi-cloud environments.

3
Stop escalation

Compromised accounts and privilege abuse get caught before the damage spreads.

Built for

Any enterprise running hybrid or multi-cloud.

AWS Azure GCP Microsoft 365
Part of the Prohori SOC platform

UEBA runs standalone or feeds its findings straight into Prohori SOC alongside the rest of the FSN lineup, so a flagged anomaly shows up in the same console as everything else your SOC is watching.

See UEBA in your environment.

Request a free security assessment and we'll show you exactly where UEBA fits your risk profile.

Learn How UEBA Works