Splunk Enterprise Security and Trellix ESM compete in the cybersecurity and SIEM market. Splunk Enterprise Security appears to have the upper hand due to its ability to handle large data volumes and rapid search capabilities, while Trellix ESM offers cost-effective solutions with essential SIEM functionalities.
Features: Splunk Enterprise Security efficiently manages and analyzes vast datasets with its schema-on-read technology and rapid search capabilities, provides real-time alerts for operational data, and supports comprehensive integration with various security tools. Trellix ESM offers core SIEM functionalities, integrates built-in correlation rules, and is user-friendly, ensuring seamless navigation for users.
Room for Improvement: Splunk Enterprise Security requires enhancements in its operational workflow, data onboarding processes, and visualization features to better align with SOC environments. Trellix ESM could improve its case management, offer enhanced customization options, and expand integration capabilities with a broader range of SaaS solutions.
Ease of Deployment and Customer Service: Splunk Enterprise Security provides flexible deployment options across public cloud, private cloud, and hybrid setups and offers knowledgeable support, although the quality varies with service tiers. Trellix ESM is better suited for on-premises and hybrid environments, with competitive pricing and reliable customer support that facilitate easier deployments in large enterprise settings.
Pricing and ROI: Splunk Enterprise Security is priced higher based on data ingestion volumes, which may be cost-prohibitive for smaller organizations, but it offers comprehensive features that might justify the cost for large enterprises. Trellix ESM is competitively priced, often viewed as a cost-effective solution for organizations needing essential SIEM functionalities without the premium features of Splunk.
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.
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.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
Splunk is priced higher than other solutions.
They have approximately 50,000 predefined correlation rules.
The Splunk Enterprise Security's threat-hunting capabilities have been particularly useful in later releases.
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.
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