What is UEBA?
- where do users log in from?
- what devices do they log in from?
- what file servers and applications do they access?
- what privileges do they have?
How UEBA Works
Why you need UEBA?
Policy or rule based approaches are not able to detect subtle, risky behaviors. Behavior analysis based on raw activity data, helps in identifying users based on rogue intent.
Historical analysis provides deeper insights into usage and trends based on statistical analysis and pin points threats that may occur over a much more extended period of time.
Dynamic baseline for user and device behavior based upon normal behavior. A behavioral profile for each applicable attribute of a user or entity is created using data science.
DETECT THREATS, NEVER SEEN BEFORE
Determine users exhibiting risky behavior such as privileged access and atypical data movement.
LOWER RISK & REDUCED ATTACK SURFACE
Analyze and detect patterns of human behavior in big data to reduce the attack surface.
IMPROVED OPERATIONAL EFFICIENCY
DNIF learns from the anomalies you find most valuable, and then screens out irrelevant detections.
CUSTOMIZABLE RISK MODELS
Data models informed by both structured data, such as SIEM logs and unstructured data.
Historical analysis allows you to quickly learn and profile user / entity / parameter behavior.
Leverage ML models to detect and make high-level decisions around your security posture.