Imperva Data User Behavior Analytics
User and entity behavior analytics (UEBA) software
User threat prevention software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Imperva Data User Behavior Analytics and its alternatives fit your requirements.
Contact the product provider
Free Trial unavailableFree version unavailable
Small
Medium
Large
- Banking and insurance
- Energy and utilities
- Public sector and nonprofit organizations
What is Imperva Data User Behavior Analytics
Imperva Data User Behavior Analytics is a UEBA capability focused on monitoring and analyzing user activity around sensitive data stores to identify anomalous or risky behavior. It is typically used by security operations, insider-risk, and compliance teams to investigate suspicious access patterns and support incident response. The product emphasizes behavior baselining and alerting in data-centric environments, often alongside database and data access monitoring controls. It is positioned for organizations that need visibility into who accessed what data, when, and how, across critical repositories.
Supports investigation workflows
The product is designed to help analysts review user activity trails around data access and correlate events into investigation-relevant narratives. This can shorten time to triage compared with manually reviewing raw database or file access logs. It is most valuable when used as part of a broader data security and monitoring program.
Data-centric behavior monitoring
The product focuses on user behavior as it relates to access of sensitive data, which aligns well with insider-risk and data exfiltration investigations. It supports use cases where understanding access context (user, object, action, time) is more important than endpoint telemetry. This data-first orientation can be useful in regulated environments that require auditability of access to critical records.
Anomaly detection for access
UEBA-style baselining helps identify deviations from typical access patterns, such as unusual query volumes, atypical access times, or access to unfamiliar datasets. This can reduce reliance on static rules alone for detecting misuse. It provides a structured way to prioritize investigations based on behavioral risk signals.
Narrower than full SIEM
As a data-focused UEBA capability, it may not provide the breadth of telemetry and correlation expected from a general-purpose security analytics platform. Organizations often still need separate tooling for endpoint, network, and cloud control-plane visibility. This can increase integration and operational overhead for teams seeking a single consolidated detection stack.
Tuning and baselining effort
Behavior analytics typically requires an initial learning period and ongoing tuning to align alerts with business context and reduce false positives. Changes in roles, applications, or data access patterns can trigger noisy detections if not managed. Teams should plan for continuous policy and model governance rather than a one-time deployment.
Depends on log coverage quality
Detection quality depends on the completeness and fidelity of underlying data access events and identity context. Gaps in auditing configuration, inconsistent identity mapping, or limited visibility into certain repositories can reduce accuracy and investigative value. Achieving consistent coverage may require additional configuration across databases, data platforms, and identity sources.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Data Discovery & Classification | Contact sales (not publicly listed) | Continuous discovery and classification of structured, semi-structured and unstructured data across on‑prem, hybrid and multi‑cloud; sensitive data dictionaries; compliance reporting. |
| Data 360 / Imperva Data Security Fabric (DSF) | Contact sales (not publicly listed) | One comprehensive plan covering DSF capabilities: data activity monitoring, Data Risk Analytics, UEBA (User Behavior Analytics), user rights management, data masking/tokenization (optional), advanced reporting, automated workflows. |
| Custom/Enterprise (add‑ons & modules) | Contact sales (not publicly listed) | Appliance, agent, or SaaS deployment models; pricing and licensing based on environment, number of repositories/agents, retention and optional modules (contact Imperva for quote). |
Seller details
Thales Group
Meudon, France
1893
Public
https://www.thalesgroup.com/
https://x.com/thalesgroup
https://www.linkedin.com/company/thales/
