User and Entity Behavior Analytics Tools
User and Entity Behavior Analytics (UEBA) tools that detect anomalous user activities and potential security threats through behavioral analysis.
Browse 19 user and entity behavior analytics tools
FEATURED
- Home
- Categories
- Human Risk
- User and Entity Behavior Analytics
USE CASES
Cybersecurity platform combining human risk assessment with behavioural science,
Bot detection service that distinguishes human users from automated bots
ML-based SaaS user behavior monitoring and automated threat remediation.
Platform providing real-time dashboards & metrics to manage human cyber risk.
AI-powered workflow monitoring new user creation & privilege escalation.
ML-powered anomaly detection and UEBA for server and container workloads.
User intelligence platform for fraud detection and compliance enforcement
Device fingerprinting solution for fraud detection and user tracking
AI-powered fraud protection platform for banking, payment, and e-commerce
Monitors workforce behavior and identity signals to detect human security risks.
Protects accounts from takeover via credential stuffing & activity monitoring
UEBA solution using ML and big data to detect APTs via behavior profiling
Human risk intelligence platform quantifying cybersecurity human risk
UEBA solution detecting anomalous user/entity behavior via ML models & risk scoring
User behavior analytics & audit solution for insider threat detection
ML-based UEBA detecting insider threats via behavioral anomaly detection and risk scoring.
Expert advisory service for interpreting user behavior analytics data
SIEM UEBA platform with AI for threat detection, hunting, XDR and SOAR
FingerprintJS is a client-side browser fingerprinting library that provides a unique visitor identifier unaffected by incognito mode.
User and Entity Behavior Analytics Tools FAQ
Common questions about User and Entity Behavior Analytics tools, selection guides, pricing, and comparisons.
SIEM correlates events against predefined rules to detect known attack patterns. UEBA uses machine learning to build behavioral baselines for each user and entity, detecting anomalies that no rule could anticipate. UEBA catches threats like slow data exfiltration, compromised credentials being used normally but from unusual locations, and privilege abuse that does not trigger any specific rule.