We changed our name!
TrackerDetect is now RevealSecurity.
Detecting Malicious
Insiders and Imposters
by Monitoring User Journeys
in Enterprise Applications
Replace rules with user journey analysis
Detect anomalous activity with unprecedented accuracy
Reduce alert signal-to-noise ratios
Replace rules with activity flow analysis
Detect anomalous activity with unprecedented accuracy Reduce alert signal-to-noise ratios
>10
BUSINESS APPLICATIONS THE AVERAGE END USER HAS ACCESS TO
+$1M
MORE ON AVERAGE BREACH COST WHEN WORKING REMOTELY
77 DAYS
REQUIRED TO CONTAIN AN INSIDER THREAT
54%
OF BUSINESS INVESTIGATE USER ACTIVITY RISKS AT LEAST WEEKLY
Focus on the Signals That Matter
Whether unintentional or malicious, data breaches caused by authenticated users happen all the time.
Other solutions focus mainly on the infrastructure, authentication, or data access layers - not on the application layer.
Addressing insider threats by writing rules or creating data models is time consuming, costly, not scalable, and therefore not practical for the application layer. Not to mention, rules can only be applied to known threats...
Better Context Enables More Accurate Detection
Powered by our unique patent-pending clustering engine, driven by activity flow analytics, TrackerIQ automatically, swiftly and accurately detects and responds to every insider threat on any enterprise application, without having to create rules, build data models, or clean outliers.
Your security organization can easily understand the flow of employee, client, and partner application's activity, identifying what is anomalous for quick and seamless prevention of fraud, disclosure and theft of sensitive data.
BEYOND RULES
because you don't know what you don't know...
ACCELERATE TIME
to detection and resolution
REDUCE DAMAGE
to brand equity resulting from data breaches
PRIORITIZE INCIDENTS
by reducing false positives and negatives
Detect the Unpredictable
What you don't know WILL hurt you
Across Applications
A ubiquitous solution
Unmatched Accuracy
With activity flow analytics and a patent-pending clustering engine for learning multiple user profiles per application
Faster Incident Investigation
No need for predefined scenarios, rules, data models, or outliers
DEEP CONTEXT
Application Agnostic
With any SaaS, COTS, or custom-built application
Seamless Integration
With any centralized logging repository, including SIEM, as well as data lakes and any log collection system
Minimal Compute Storage
With no copying or duplication of log files
Trusted by
Protect Your Business Against Misuse and Abuse by Authenticated Users
Reach out to us to detect the unknown