Splunk User Behavior Analytics and Varonis Platform both excel in data security but serve distinct needs. Splunk leads with flexible data analytics, while Varonis is favored for data governance, especially in access management.
Features: Splunk's flexible and robust analytics, powerful indexing, and customizable dashboards make it a preferred choice for rapid search and integration, though it can be costly. Varonis stands out with data access governance, monitoring, classification, and anomaly detection, noted for its threat management and restriction application.
Room for Improvement: Splunk could benefit from better correlation capabilities and a simpler pricing model, with users seeking more integrations and an economic licensing structure. Varonis users call for faster processing of large datasets and enhanced DLP capabilities, alongside a fully optimized cloud model.
Ease of Deployment and Customer Service: Splunk supports versatile deployment in both cloud and on-premise environments but is seen as technically complex. Its tiered support is generally well-received. Varonis offers standard deployment options with mixed support feedback, noted for its stability but limited by certain support experiences.
Pricing and ROI: Splunk is known for high licensing costs tied to its diverse modules and data processing, resulting in substantial ROI when utilized efficiently, despite high entry costs. Varonis, also expensive, is justified for larger enterprises due to its focus on data security and management, offering significant ROI through improved operations and security management.
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.
Varonis Platform specializes in network security and data monitoring with modules for alerting, data classification, and access management, benefiting environments like Microsoft 365.
Varonis is designed to secure data by auditing and tracking data movement. It leverages data alert and classification modules to identify and manage sensitive information. The platform enhances network security by alerting users to unexpected data modifications and deletions, crucial for effective data loss prevention. It supports unstructured data management, ensuring proper data access and permission controls. Known for its 24/7 support, Varonis offers comprehensive analytics and unified reporting, helping prevent data overexposure and facilitating compliance efforts.
What are the key features of Varonis Platform?
What benefits should be highlighted in user reviews?
Varonis Platform is widely utilized in industries needing stringent data confidentiality and management, such as finance and healthcare, for tracking data modifications and unauthorized access. Enterprises deploy it to manage permissions within large datasets, benefiting Microsoft 365 environments. While Varonis requires enhancements in cloud integration, the current deployment is often based on-premises, with attention to addressing the security needs and effective data handling for critical infrastructure.
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