Splunk User Behavior Analytics and Change Tracker Gen7 R2 both compete in the security and compliance sector. Splunk demonstrates superior analytics capabilities, while Change Tracker provides better value due to its extensive change management features.
Features: Splunk User Behavior Analytics integrates machine-learning capabilities for analyzing user activity patterns and enhances security insights. It offers robust analytics for advanced threat detection and provides proactive security measures. Change Tracker Gen7 R2 is highlighted for its configuration management, real-time visibility into changes, and ability to maintain compliance through detailed change control mechanisms. It supports thorough compliance reporting, offering organizations an edge in regulatory environments.
Ease of Deployment and Customer Service: Splunk User Behavior Analytics involves complex initial integration with existing systems but benefits from scalable deployment and reliable technical support. Change Tracker Gen7 R2 is recognized for straightforward installation, easily integrating with diverse IT environments, coupled with effective customer service for seamless operations. These user-friendly deployment features make Change Tracker advantageous for resource-limited organizations.
Pricing and ROI: Splunk User Behavior Analytics comes with higher initial setup costs, justified by long-term ROI through advanced analytics and predictive security measures. Change Tracker Gen7 R2 offers a more affordable entry point with immediate advantages in compliance management, positioning itself as a budget-friendly choice for companies seeking quick returns on investment.
| Product | Market Share (%) |
|---|---|
| Splunk User Behavior Analytics | 1.9% |
| Change Tracker Gen7 R2 | 0.6% |
| Other | 97.5% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 12 |
Change Tracker Gen7R2 solves IT Security and the problems that plague all organizations – the overwhelming noise of change control and ensuring the integrity of IT systems. Completely redesigned with both security and IT operations in mind, Change Tracker Gen7 R2 is the only solution designed to reduce change noise and the complexity of integrity monitoring and policy management all while allowing for unprecedented scalability and management that meets the most demanding enterprise environments.
Gen7R2 enables organizations to:
- Define the systems that need protection
- Ensure those systems are secured, compliant and fit for purpose at all times
- Provide intelligent change control to ensure systems remain in a ‘known secure and compliant state’
- Enable organizations to move projects securely from Development to Operations
Gen7 R2 integrates with leading Service desks and Change Management solutions to reconcile the changes that are actually occurring within your environment with those that were expected and part of an approved Request for Change. Security and IT Service Management (ITSM) have traditionally observed and managed change in two very different ways. By linking the changes approved and expected within the ITSM world with those that are actually happening from a security perspective, SecureOps is delivered and underpins effective, ongoing security and operational availability.
With Gen7R2 you have the ability to reduce change noise by more than 90%, leaving only changes that are unknown, unwanted, unexpected or potentially malicious in nature for further investigation.
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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