Splunk User Behavior Analytics and Zscaler Cloud IPS are competitive in the cybersecurity category. Zscaler appears to have an upper hand due to its robust features and ease of integration despite higher costs.
Features: Splunk User Behavior Analytics utilizes advanced machine learning for anomaly detection, offers on-premise deployment flexibility, and supports complex behavioral analysis. Zscaler Cloud IPS provides comprehensive threat protection, is easily integrated with existing networks, and leverages a cloud-native architecture for scalability.
Ease of Deployment and Customer Service: Zscaler Cloud IPS enables seamless cloud-based deployment with efficient customer service, facilitating quick onboarding and ongoing support. Splunk might require a more complex initial setup but offers responsive customer service to address implementation challenges.
Pricing and ROI: Splunk User Behavior Analytics offers a flexible pricing model beneficial for budget-sensitive clients, supporting positive ROI with its on-premise solutions. Zscaler Cloud IPS, while potentially more expensive initially, provides considerable ROI through comprehensive threat protection and scalable architecture, making the cost worthwhile for users.
| Product | Market Share (%) |
|---|---|
| Splunk User Behavior Analytics | 1.9% |
| Zscaler Cloud IPS | 1.3% |
| Other | 96.8% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 12 |
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.
Zscaler Cloud IPS enables you to have all threat and alert data in one place. Full user, file and app context is available. Streaming to a SIEM allows further integration into the SOC ecosystem.
The Zscaler Threat Library allows administrators and SOC personnel to drill down on IPS alerts to perform in-depth analysis of threat data within their installation. Search by vulnerability, category or keyword
For more details: https://www.zscaler.com/produc...
We monitor all Intrusion Detection and Prevention Software (IDPS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
