Find out in this report how the two User Entity Behavior Analytics (UEBA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
The solution can save costs by improving incident resolution times and reducing security incident costs.
The product has proven to be reliable and compatible with our network infrastructure.
Mission-critical offering a dedicated team, proactive monitoring, and fast resolution.
From the responsiveness perspective, Splunk is very responsive with SLA-bound support for premium tiers.
Splunk's technical support is amazing.
The technical support is good.
Splunk User Behavior Analytics is highly scalable, designed for enterprise scalability, allowing expansion of data ingestion, indexing, and search capabilities as log volumes grow.
With built-in redundancy across zones and regions, 99.9% uptime is achievable.
Splunk User Behavior Analytics is a one hundred percent stable solution.
Splunk User Behavior Analytics is highly stable and reliable, even in large-scale enterprise environments with high log injection rates.
Global reach allows deployment of apps and services closer to users worldwide, but data sovereignty concerns exist and region selection must align with compliance requirements.
I encountered several issues while trying to create solutions for this advanced version, which seem unrelated to query or data issues.
High data ingestion costs can be an issue, especially for large enterprises, as Splunk charges based on the amount of data processed.
An integrated appliance from Trend Micro would streamline the process, providing customers with a pre-configured solution and removing dependencies on external hardware.
Reserved instances with one or three-year commitments offer lower rates, providing up to 70% savings.
The pricing is based on the amount of data processed, and it is considered a high-level investment for enterprises.
Comparing with the competitors, it's a bit expensive.
The Trend Vision One pricing is reasonable.
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.
Splunk User Behavior Analytics is known for its advanced analytics and data correlation capabilities, which help in detecting patterns, anomalies, and security threats.
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.
Trend Vision One- Cloud Security Security provides comprehensive cloud security, threat protection, and compliance monitoring. Users commend its advanced features, ease of use, and strong performance in keeping digital assets safe. The platform improves efficiency and productivity for organizations while offering excellent customer support.
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