Find out what your peers are saying about IBM, Exabeam, Cynet and others in User Entity Behavior Analytics (UEBA).
Product | Market Share (%) |
---|---|
Splunk User Behavior Analytics | 8.0% |
Rapid7 InsightIDR | 8.1% |
Veriato User Activity Monitoring (UAM) | 2.6% |
Other | 81.3% |
Company Size | Count |
---|---|
Small Business | 20 |
Midsize Enterprise | 5 |
Large Enterprise | 6 |
Company Size | Count |
---|---|
Small Business | 7 |
Midsize Enterprise | 5 |
Large Enterprise | 12 |
Parsing hundreds of trivial alerts. Managing a mountain of data. Manually forwarding info from your endpoints. Forget that. InsightIDR instantly arms you with the insight you need to make better decisions across the incident detection and response lifecycle, faster.
Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.
Veriato User Activity Monitoring (UAM) provides a comprehensive way to track employee activities within an organization. It assists in improving productivity and security by offering detailed insights into behavior and resource usage patterns.
Veriato UAM captures user interactions and system activities, helping organizations detect potential security risks and monitor adherence to policies. It tracks keystrokes, websites visited, application usage, and file transfers to provide administrators with meaningful analytics. Its detailed reports enable better decision-making, enhancing transparency and security oversight within businesses.
Which features make Veriato UAM effective?In finance, Veriato UAM helps maintain stringent compliance standards, while in healthcare, it safeguards patient data. Retail businesses use it to secure customer information during transactions. Each industry benefits from its detailed monitoring capabilities tailored to specific security and productivity requirements.