UniCredit Hacked: 400,000 Accounts Compromised, Data Exposed
Fortscale Named an Emerging Vendor by CRN Read our Blog -
RT @fortscale: Fortscale Security Recognized on 2017 Emerging Vendors List Read the Press Release -
@TheChannelCo names Fortscale Security @Fortscale to @CRN 2017 Emerging Vendors list #CRNEV
Fortscale Security Recognized on 2017 Emerging Vendors List Read the Press Release -
Millions of Verizon Customer Records Exposed in Security Lapse #UEBA #CyberSecurity -
Hacked drones flying up, up and away over geofencing restrictions -
Google wants you to bid farewell to SMS authentication -
Congratulations @EvolutionEquity Partners on Final Close of New Cybersecurity Focused Fund | #venturecapital
Over 70,000 Memcached Servers Still Vulnerable to Remote Hacking -

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.