NetWitness NDR and Wazuh both operate in the network detection and response category, aiming to bolster network security. NetWitness NDR has an advantage with comprehensive analytics, whereas Wazuh's open-source flexibility attracts cost-sensitive organizations with technical proficiency.
Features: NetWitness NDR offers advanced threat detection with intricate analytics, broad intelligence integrations, and superior incident response. Wazuh provides real-time intrusion detection, log data analysis, and seamless integration with various environments, enhancing flexibility and cost-efficiency.
Room for Improvement: NetWitness NDR could improve in customizing solutions and reducing setup complexity. Additionally, enhancing integration flexibility would benefit users seeking more tailored solutions. Wazuh could refine ease of deployment for less experienced users, streamline its community support for faster responses, and enhance its professional technical support to provide quicker resolutions for complex issues.
Ease of Deployment and Customer Service: NetWitness NDR is praised for its straightforward deployment process and structured support, attracting organizations looking for effective solutions ready for immediate use. Wazuh's open-source nature offers community support and demands a hands-on approach to deployment, favoring technically adept users who can navigate its setup requirements.
Pricing and ROI: NetWitness NDR's comprehensive features and professional support come with significant initial costs, yet promise a high ROI for seamless deployment and advanced functionalities. Wazuh, as an open-source solution, reduces initial expenditures but necessitates investing in technical resources, making it appealing to budget-conscious buyers seeking customization opportunities at lower costs.
I have seen value in security cost savings with Wazuh, as using proprietary EDR versions could save us substantial money.
They responded quickly, which was crucial as I was on a time constraint.
We use the open-source version of Wazuh, which does not provide paid support.
The documentation is good and provides clear instructions, though it's targeted at those with technical backgrounds.
It can accommodate thousands of endpoints on one instance, and multiple instances can run for different clients.
Currently, I don't see any limitations in terms of scalability as Wazuh can still connect many endpoints.
Scalability depends on the configuration and the infrastructure resources like compute and memory we allocate.
The stability of Wazuh is strong, with no issues stemming from the solution itself.
The stability of Wazuh is largely dependent on maintenance.
The indexer frequently times out, requiring system restarts.
Machine learning is needed along with understanding user behavior and behavioral patterns.
The integration modules are insufficiently developed, necessitating the creation of custom integration solutions using tools like Logstash and PubSub.
I think Wazuh should improve by introducing AI functionalities, as it would be beneficial to see AI incorporated in the threat hunting and detection functionalities.
Wazuh is completely free of charge.
I would definitely recommend Wazuh, especially considering Fortinet's licensing model which is confusing and overpriced in my opinion.
Totaling around two lakh Indian rupees per month.
Wazuh is a SIEM tool that is highly customizable and versatile.
The system allows us to monitor endpoints effectively and collect security data that can be utilized across other platforms such as SOAR.
With this open source tool, organizations can establish their own customized setup.
| Product | Market Share (%) |
|---|---|
| Wazuh | 7.9% |
| NetWitness NDR | 1.3% |
| Other | 90.8% |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 2 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 15 |
| Large Enterprise | 8 |
Using a centralized combination of network and endpoint analysis, behavioral analysis, data science techniques and threat intelligence, NetWitness NDR helps analysts detect and resolve known and unknown attacks while automating and orchestrating the incident response lifecycle. With these capabilities on one platform, security teams can collapse disparate tools and data into a powerful, blazingly fast user interface.
Wazuh offers an open-source platform designed for seamless integration into diverse environments, making it ideal for enhancing security infrastructure. Its features include log monitoring, compliance support, and real-time threat detection, providing effective cybersecurity management.
Wazuh stands out for its ability to integrate easily with Kubernetes, cloud-native infrastructures, and various SIEM platforms like ELK. It features robust MITRE ATT&CK correlation, comprehensive log monitoring capabilities, and detailed reporting dashboards. Users benefit from its file integrity monitoring and endpoint detection and response (EDR) capabilities, which streamline compliance and vulnerability assessments. While appreciated for its customization and easy deployment, room for improvement exists in scalability, particularly in the free version, and in areas such as threat intelligence integration, cloud integration, and container security. The platform is acknowledged for its strong documentation and technical support.
What are the key features of Wazuh?In industries like finance, healthcare, and technology, Wazuh is utilized for its capabilities in log aggregation, threat detection, and vulnerability management. Companies often implement its features to ensure compliance with stringent regulations and to enhance security practices across cloud environments. By leveraging its integration capabilities, organizations can achieve unified security management, ensuring comprehensive protection of their digital assets.
We monitor all Extended Detection and Response (XDR) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
