Splunk Enterprise Security and Elastic Security are key players in the cybersecurity domain. While both have strengths, Splunk's advanced data ingestion and visualization tools give it an edge in comprehensive data management and analytics.
Features: Splunk Enterprise Security stands out with its rapid search capabilities, extensive log management, and seamless integration with other solutions. It features schema-on-read technology and supports advanced visualization tools. Elastic Security offers powerful search functionalities, adaptability across data sources, and is known for its high operational speed.
Room for Improvement: Splunk needs better integration with third-party applications, more customizable user roles, and improved machine learning capabilities. Its high cost and learning curve are also challenges. Elastic Security should enhance built-in use cases, simplify its interface, and improve automation and AI-based features.
Ease of Deployment and Customer Service: Splunk can be deployed on-premises, public, and hybrid clouds, but its deployment complexity is a drawback despite effective customer service and resources. Elastic Security offers ease of use with versatile deployment options but lacks robust professional support, relying more on community and documentation for assistance.
Pricing and ROI: Recognized as a premium product, Splunk's comprehensive features are seen as justifying its high price, yet it presents challenges for smaller companies due to its data volume-based pricing. Elastic Security, being open-source, provides cost advantages and solid ROI, especially for small to moderate-sized enterprises, with a more affordable licensing model.
It does not require hefty security budgets and can be deployed for enterprise security effectively.
The documentation for Splunk Enterprise Security is outstanding. It is well-organized and easy to access.
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.
Support is prompt and helpful.
Most of the time when my team encounters issues, they receive responses within 24 hours.
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.
It allows us to think about specific use cases, such as gathering malicious IPs in a single view and analyzing threats based on geolocation.
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.
In terms of stability, I would rate Elastic a solid eight out of ten.
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.
I would rate it a ten out of ten for stability.
CrowdStrike and Defender have more established threat intelligence integration due to having a larger client base.
My security testing team continuously reports vulnerabilities, and we have to fix and update the versions frequently.
Elastic Security consumes a lot of resources, requiring a substantial deployment setup.
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.
For any future enhancements or features, such as MLTK and SOAR platform integration, we need more visibility, training, and certification for the skilled professionals who are working.
The pricing is reasonable, especially for Small Medium Enterprises (SMEs), making it a viable option for businesses building their security infrastructure.
This is beneficial for SMEs as they do not need extensive budgets for security solutions.
Elastic Security is considered cost-effective, especially at lower EPS levels.
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.
Elastic Security offers good insight regarding alerts, reports, and cases.
Elastic Security offers advanced features such as machine learning and integration with ChatGPT.
We require rapid processing speed for alerts and event data, and Elastic Security is very efficient at handling this level of data.
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.
Splunk Enterprise Security provides the foundation for unified threat detection, investigation, and response, enabling fast identification of critical issues.
Elastic Security combines the features of a security information and event management (SIEM) system with endpoint protection, allowing organizations to detect, investigate, and respond to threats in real time. This unified approach helps reduce complexity and improve the efficiency of security operations.
Additional offerings and benefits:
Finally, Elastic Security benefits from a global community of users who contribute to its threat intelligence, helping to enhance its detection capabilities. This collaborative approach ensures that the solution remains on the cutting edge of cybersecurity, with up-to-date information on the latest threats and vulnerabilities.
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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