Find out what your peers are saying about Splunk, Wazuh, Microsoft and others in Security Information and Event Management (SIEM).
For smaller organizations, other products may provide better value for money.
If you want to write your own correlation rules, it is very difficult to do, and you need Splunk's support to write new correlation rules for the SIEM tool.
The technical support for Splunk met my expectations.
The support is quite reliable depending on the service engineer assigned.
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
It provides a stable environment but needs to integrate with ITSM platforms to achieve better visibility.
It is very stable.
An API with Microsoft Sentinel or a similar SIEM tool would be a good idea.
Splunk Enterprise Security would benefit from a more robust rule engine to reduce false positives.
Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
Splunk is priced higher than other solutions.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
The Splunk Enterprise Security's threat-hunting capabilities have been particularly useful in later releases.
They have approximately 50,000 predefined correlation rules.
Splunk Enterprise Security is widely used for security operations, including threat detection, incident response, and log monitoring. It centralizes log management, offers security analytics, and ensures compliance, enhancing the overall security posture of organizations.
Companies leverage Splunk Enterprise Security to monitor endpoints, networks, and users, detecting anomalies, brute force attacks, and unauthorized access. They use it for fraud detection, machine learning, and real-time alerts within their SOCs. The platform enhances visibility and correlates data from multiple sources to identify security threats efficiently. Key features include comprehensive dashboards, excellent reporting capabilities, robust log aggregation, and flexible data ingestion. Users appreciate its SIEM capabilities, threat intelligence, risk-based alerting, and correlation searches. Highly scalable and stable, it suits multi-cloud environments, reducing alert volumes and speeding up investigations.
What are the key features?Splunk Enterprise Security is implemented across industries like finance, healthcare, and retail. Financial institutions use it for fraud detection and compliance, while healthcare organizations leverage its capabilities to safeguard patient data. Retailers deploy it to protect customer information and ensure secure transactions.
Vectra AI is used for detecting network anomalies and potential malicious activities, providing visibility into network traffic and enhancing threat detection across environments.
Organizations deploy Vectra AI mainly on-premises with additional cloud components. It helps with compliance, incident response, security monitoring, detecting insider threats, and correlating network events. Vectra AI captures and enriches network metadata, provides detailed dashboards, reduces false positives, and supports cross-environment behavioral analysis to enhance threat detection and prioritization. While valued for its high accuracy and alert aggregation, it has room for improvement in UI/UX, packet management, and integration with SIEMs and other tools. It is noted for expensive pricing and limited proactive threat response features.
What are Vectra AI's most valuable features?In specific industries, Vectra AI is deployed to monitor complex networks and alleviate challenges in threat detection. It is particularly effective in sectors requiring stringent compliance and security measures, offering insights and capabilities crucial for protecting sensitive data and maintaining operational integrity.
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