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Detection for Application Operational Breaches
by Authenticated Users

Replace rules with activity flow 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...

Rules are an outdated 20th century concept!

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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.

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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

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Detect the Unpredictable

What you don't know WILL hurt you

Across Applications

A ubiquitous solution 

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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

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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
 
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Protect Your Business Against Misuse and Abuse by Authenticated Users

Reach out to us to detect the unknown