User and Entity Behavior Analytics (UEBA) is a cybersecurity approach that leverages machine learning and advanced analytics to detect anomalous behavior in users and systems. Instead of relying on predefined security rules, UEBA identifies suspicious activities by analyzing patterns, behaviors, and deviations from normal operations.
How UEBA Works
- Behavioral Baselines - Monitors normal user and entity activity to establish expected behavior patterns.
- Anomaly Detection - Flags deviations such as unusual login locations, unauthorized data access, or irregular file transfers.
- Machine Learning & AI - Continuously refines its detection capabilities by learning from past behavior and security incidents.
- Risk Scoring - Assigns risk levels to users or entities based on detected anomalies, helping prioritize security responses.
Why UEBA is Important for Businesses
- Identifies Insider Threats - Detects suspicious activities from employees, contractors, or compromised accounts.
- Prevents Data Breaches - Recognizes unauthorized access or data exfiltration attempts.
- Enhances Threat Detection - Strengthens security against advanced persistent threats (APTs) and cyberattacks.
- Improves Compliance - Supports regulatory requirements like PCI DSS, GDPR, HIPAA, and NIST by ensuring continuous monitoring and anomaly detection.
Common Industries That Use UEBA
- Financial Services for detecting fraudulent transactions or unauthorized access.
- Healthcare for monitoring PHI access to prevent data leaks.
- Corporate IT Security for identifying compromised accounts or insider threats.