Splunk User Behavior Analytics and Exabeam compete in the user behavior monitoring and response category. Splunk is a market leader with comprehensive functionality, but Exabeam's advanced analytics and user-friendly features offer a competitive edge.
Features: Splunk provides a comprehensive machine data platform with strong integration capabilities and customizable features. Its intuitive query system enhances user experience. Exabeam offers advanced behavior analytics and machine learning capabilities. Its ease of use is enhanced by timeline creation and natural language conversion, which streamline security investigations.
Room for Improvement: Splunk could integrate user behavior analytics directly into its core platform and improve dashboard flexibility while addressing pricing concerns. It needs better out-of-the-box integration. Exabeam requires better documentation and enhanced dashboard customization. Improvements are needed in API integration, processing speed, and reducing false positives.
Ease of Deployment and Customer Service: Splunk and Exabeam offer both on-premises and cloud deployment options, providing flexibility. Splunk receives positive feedback for its professional support during deployment and troubleshooting. Exabeam's support also rates highly but could improve in documentation and customer interaction.
Pricing and ROI: Splunk is often viewed as expensive, with a complex pricing structure that can complicate future cost predictions. Its ROI is linked to increased staff productivity. Exabeam offers a more flexible pricing model, seen as reasonable though not cheap, and delivers good ROI with noted efficiency gains and cost savings.
Their response time is slow compared to other technical support teams.
I would rate the support at eight, meaning there's some room for improvement.
These problems were not frequent, and the last six to eight months have been stable.
Splunk User Behavior Analytics is a one hundred percent stable solution.
Sometimes issues occur when handling long-term data.
Exabeam needs to improve its documentation and provide more customization for dashboards and case management.
I encountered several issues while trying to create solutions for this advanced version, which seem unrelated to query or data issues.
Advanced reporting could see enhancements as there are some issues with latency.
Exabeam's AI capabilities, like the natural language mode, convert natural language into Exabeam queries, enhancing ease of use.
I also utilize it for anomaly detection and behavior analysis, particularly using Splunk's machine learning environment.
Features like alerts and auto report generation are valuable.
Exabeam Fusion is a cloud-delivered solution that that enables you to:
-Leverage turnkey threat detection, investigation, and response
-Collect, search and enhance data from anywhere
-Detect threats missed by other tools, using market-leading behavior analytics
-Achieve successful SecOps outcomes with prescriptive, threat-centric use case packages
-Enhance productivity and reduce response times with automation
-Meet regulatory compliance and audit requirements with ease
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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