Splunk User Behavior Analytics and Gurucul UEBA compete in the user and entity behavior analytics category. Splunk has an edge in deployment ease and cost-effectiveness, while Gurucul offers superior features for comprehensive security insights.
Features: Splunk User Behavior Analytics integrates seamlessly with existing Splunk environments, supports robust threat detection, and provides a user-friendly experience. Gurucul UEBA includes advanced machine learning capabilities, offers flexibility in correlating various data sources, and provides predictive analytics for detailed insights.
Ease of Deployment and Customer Service: Splunk User Behavior Analytics benefits from a streamlined deployment process supported by the mature Splunk infrastructure and extensive customer service network. Gurucul UEBA, while more complex to deploy, is aided by proactive customer service, making it suitable for more intricate environments.
Pricing and ROI: Splunk User Behavior Analytics presents a lower setup cost, appealing to budget-conscious organizations, with a promise of effective ROI through reliable performance. Gurucul UEBA requires a higher initial investment but justifies this with its diverse capabilities, offering substantial long-term ROI for enterprises prioritizing comprehensive security solutions.
| Product | Market Share (%) |
|---|---|
| Splunk User Behavior Analytics | 6.0% |
| Gurucul UEBA | 2.9% |
| Other | 91.1% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 12 |
Threats are a moving target. Determined and persistent threat actors purposely stretch out their activity across weeks or even months, especially when most SIEM and XDR solutions are incapable of piecing together events across time. Even worse, is that these solutions primarily use rule-based Machine Learning, which is essentially pattern matching. This makes them especially ineffective in detecting new attacks and/or variants, which are highly successful in breaching organizations. Discover how Gurucul UEBA security can help your enterprise.
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.
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