Why Behavioral Analytics?

To Catch Advanced Attackers

To Improve Insights with Machine Learning

To Reduce Security Alert Fatigue

Behavioral Analytics for Everyone

Security effectiveness often boils down to how quickly the thousands of alerts generated daily can be handled. Unfortunately, the isolated, incomplete information of an alert makes it very difficult to figure out what is going on and what needs to happen next.

Our Advance Machine Learning behavioral analytics can be natively embedded within security devices, so it can be easily used to pinpoint risks quickly, adjust policy enforcement dynamically, and strengthen overall security.

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Fortscale Was Named CRN 2017 Emerging Vendors!

What We Do

We combine predictive, big data analytics with advanced machine learning AI to accurately identify insider threats and provide all the information needed to prioritize and address risks.

Increase Visibility

Immediately identify risky behaviors that indicate compromised users and insider threats.

Optimize Existing Investments

Add contextual information to platforms and products already deployed to improve overall effectiveness.

Improve Decision-Making

Make better, more impactful security decisions, based on real-time risks.

Support Automation

Enable adaptive enforcement to increase efficiency and productivity.

Case Studies

Don't take our word for it, see for yourself how UEBA can improve your ability to identify and respond to cyber attacks.

View Case Studies

In The News

Report explores the artificial intelligence in security market forecast to 2025
Artificial Intelligence in Security Market Global Research Report 2017 of 184 pages explores Global Artificial Intelligence in Security Market rea...
Fortscale Embedded Analytics Selected by Quest Software to Provide Threat Detection Capabilities
Fortscale will embed its advanced behavior analytics engine in Quest’s Change Auditor Platform, improving the overall security posture of Quest’s ...

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