Detecting Malicious Insiders and Imposters by Monitoring User Journeys in Enterprise Applications
- Detect abuse, misuse and malice in applications
- Ubiquitous for and across SaaS and custom-built applications
- Unprecedented signal-to-noise ratio based on User Journey Analytics
Unmatched Accuracy Based on User Journey Analytics
Unmatched Accuracy
Learning multiple profiles per user and application based on user journey analytics is far more accurate than rule-based and statistical UEBA solutions.
ANY Application
Supports SaaS and custom built applications. Analyze user journeys in and between different applications to detect anomalies.
Connecting the Dots
Tracking user journeys enables the detection of unpredicted attacks, while rules detect only known patterns and attack scenarios. Analyzing application event logs with user journeys provides the detection that predefined rules cannot do.
Application User Journey Analytics
User Journey Analytics is based on the analysis of sequences of activities, which provides context and unmatched accuracy, while User Behavior Analytics (UEBA) generates a high number of false positives.
“What we really want to be able to understand is a sequence of activities, a flow that says ‘it wasn’t just that this thing might be bad, but rather it was the activity A plus B plus C that makes it bad.”
Sounil Yu
CISO and Head of Research, JupiterOne
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