Hyundai Mobile App Flaw Allows Bad Guys to Unlock and Start the Car
HipChat Resets Passwords After Suspected Breach
Fortscale enhances DLP deployment - Helps Prevent Malicious Data Extrusion -
Fortscale enhances DLP deployment - Helps Prevent Malicious Data Extrusion -
Read our DLP Deployment Case Study -
Shadow Brokers Exploits: Microsoft and Swift Play Down Impact - Infosecurity Magazine -
Intercontinental Hotels Suffer Major Card Breach - Infosecurity Magazine -
Man Admits Hacking into His Former Employer's Network
Cyber Criminals Successfully Stealing Our Tax Refunds – Learn how UEBA can help.
Health Savings Account Fraud: The Rapidly Growing Threat -

The Insider
Threat Problem

Stolen credentials. Rogue users. Careless employees. They all amount to one thing: insider threats. When legitimate accounts are abused or compromised, their behavior changes. Traditional security solutions don’t see it. Fortscale does.

User & Entity Behavior Analytics (UEBA) for Insider Threat Detection:

It’s Not Magic, it’s Just Really Good Math

Many UEBA solutions are primarily rules-engines with machine learning capabilities layered on top, limiting the threats they can identify to those that they can write a rule for, hindering scalability, and contributing to the noise of a SOC. Fortscale is not just another rules-engine. Fortscale has been designed from the ground up as a machine learning system that uses advanced computing and mathematics to detect abnormal account behavior indicative of credential compromise or abuse.

No rules to write. No limits on what Fortscale can find.

Customer Video Testimonial

Don’t just take our word for it

Fortscale Was Named Gartner Cool Vendor

in UEBA, Fraud Detection, and User Authentication

Get Started Fast

Let’s discuss your needs and show you how Fortscale can work for you.