Splunk Enterprise Security and ArcSight Intelligence both operate in the security information and event management sector. ArcSight Intelligence appears to have a slight advantage due to its extensive feature set, which justifies its higher price for many buyers.
Features: Splunk Enterprise Security offers real-time visibility, advanced analytics, and seamless integration with various data sources. ArcSight Intelligence stands out for its behavioral analytics and automated threat detection, offering deeper insights into security incidents. ArcSight's advanced features are particularly well-regarded in feature-oriented assessments.
Room for Improvement: Splunk could benefit from enhanced automation capabilities, improved user interface intuitiveness, and streamlined machine learning integration. ArcSight, on the other hand, may improve in scalability, complexity reduction in rule writing, and more comprehensive integration with third-party applications to enhance its overall user experience.
Ease of Deployment and Customer Service: Splunk Enterprise Security is recognized for easy deployment and excellent customer support, making it attractive for organizations new to SIEM solutions. ArcSight Intelligence, while offering robust customer service, involves a more complex deployment process, suggesting it might be better suited for organizations with prior SIEM experience.
Pricing and ROI: Splunk often presents a lower upfront cost and strong ROI due to its scalable and efficient operations management. ArcSight Intelligence, though higher in initial costs, provides substantial ROI through its advanced analytics capabilities, offering long-term security benefits that justify its expense for many organizations.
I have noticed a return on investment with Splunk Enterprise Security, as it delivers substantial value for money.
Customers see the value in investing in this solution, particularly when it helps resolve issues quickly, turning a potential 20-hour response into one hour.
Splunk's cost is justified for large environments with extensive assets.
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.
They try to close issues as soon as possible, often just offering documentation links.
They are responsive and effectively resolve issues.
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
It is easy to scale.
It's big in a Central European context, and small from a Splunk North American context.
They test it very thoroughly before release, and our customers have Splunk running for months without issues.
It provides a stable environment but needs to integrate with ITSM platforms to achieve better visibility.
It is very stable.
Improving the infrastructure behind Splunk Enterprise Security is vital—enhanced cores, CPUs, and memory should be prioritized to support better processing power.
Splunk Enterprise Security is not something that automatically picks things; you have to set up use cases, update data models, and link the right use cases to the right data models for those detections to happen.
What Splunk could do better is to create an API to the standard SIEM tools, such as Microsoft Sentinel.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
The platform requires significant financial investment and resources, making it expensive despite its comprehensive features.
Splunk is priced higher than other solutions.
This capability is useful for performance monitoring and issue identification.
I assess Splunk Enterprise Security's insider threat detection capabilities for helping to find unknown threats and anomalous user behavior as great.
They have approximately 50,000 predefined correlation rules.
Empower your threat hunting team to pre-empt elusive attacks with anomaly detection powered by security AI to find insider threats, zero-day attacks, and APTs.
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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