FingerprintJS is a free user and entity behavior analytics tool. Gurucul UEBA is a commercial user and entity behavior analytics tool by Gurucul. Compare features, ratings, integrations, and community reviews side by side to find the best user and entity behavior analytics fit for your security stack.
Based on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Fraud and abuse teams handling high-volume web traffic will get immediate value from FingerprintJS because it identifies returning users across incognito sessions where traditional cookie-based methods fail. The library powers 26,751 GitHub stars and handles billions of fingerprints monthly across production deployments, proving it scales without backend complexity. Skip this if you need server-side identity verification or fraud prevention tied to payment networks; FingerprintJS is a detection layer for suspicious behavior patterns, not a replacement for KYC or transaction monitoring.
Mid-market and enterprise security teams hunting insider threats and compromised credentials will find Gurucul UEBA's 3,000+ ML models and real-time risk scoring more practical than competitors' black-box approaches; the normalized 0-100 risk engine actually lets analysts act on a number instead of debating severity. Link Chain Analysis ties user behavior to network and cloud signals automatically, covering the ID.RA and DE.CM functions most teams skip. Skip this if your team lacks dedicated UEBA operators or you need tight SOAR integration; Gurucul's strength is forensic depth, not alert velocity.
FingerprintJS is a client-side browser fingerprinting library that provides a unique visitor identifier unaffected by incognito mode.
UEBA solution detecting anomalous user/entity behavior via ML models & risk scoring
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Common questions about comparing FingerprintJS vs Gurucul UEBA for your user and entity behavior analytics needs.
FingerprintJS: FingerprintJS is a client-side browser fingerprinting library that provides a unique visitor identifier unaffected by incognito mode..
Gurucul UEBA: UEBA solution detecting anomalous user/entity behavior via ML models & risk scoring. built by Gurucul. headquartered in United States. Core capabilities include Over 3,000 machine learning models for behavioral analysis, Dynamic risk scoring engine with 0-100 normalized scores, Real-time risk score updates based on activity..
Both serve the User and Entity Behavior Analytics market but differ in approach, feature depth, and target audience.
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