Innerworks vs Splunk User and Entity Behavior Analytics: Side-by-Side Comparison (2026)

Innerworks: User intelligence platform for fraud detection and compliance enforcement. built by Innerworks. Core capabilities include VPN detection and true geolocation identification, Account farm detection and linking, Device fingerprinting and profiling..

Splunk User and Entity Behavior Analytics: ML-based UEBA detecting insider threats via behavioral anomaly detection and risk scoring. built by Splunk Inc.. Core capabilities include Behavioral analytics and machine learning to baseline and detect deviations in user and entity behavior, Entity risk scoring that aggregates risk signals from multiple sources into a single actionable score, Multi-entity correlation across users, devices, endpoints, and cloud applications..

Both serve the User and Entity Behavior Analytics market but differ in approach, feature depth, and target audience.

Innerworks differentiates with VPN detection and true geolocation identification, Account farm detection and linking, Device fingerprinting and profiling. Splunk User and Entity Behavior Analytics differentiates with Behavioral analytics and machine learning to baseline and detect deviations in user and entity behavior, Entity risk scoring that aggregates risk signals from multiple sources into a single actionable score, Multi-entity correlation across users, devices, endpoints, and cloud applications.

Innerworks is developed by Innerworks. Splunk User and Entity Behavior Analytics is developed by Splunk Inc.. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Innerworks and Splunk User and Entity Behavior Analytics serve similar User and Entity Behavior Analytics use cases: both are User and Entity Behavior Analytics tools, both cover Anomaly Detection. Review the feature comparison above to determine which fits your requirements.