Elastic Observability vs Wazuh comparison

To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together application, infrastructure, and user data into a unified solution for end-to-end observability and alerting.
Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights.

Wazuh is an enterprise-ready platform used for security monitoring. It is a free and open-source platform that is used for threat detection, incident response and compliance, and integrity monitoring. Wazuh is capable of protecting workloads across virtualized, on-premises, containerized, and cloud-based environments.

It consists of an endpoint security agent and a management server. Additionally, Wazuh is fully integrated with the Elastic Stack, allowing users the ability to navigate through security alerts via a data visualization tool.

• Wazuh’s agent can run on many different platforms, and is lightweight. It can successfully perform the tasks needed to detect threats in order to trigger responses automatically.
  
• Wazuh manages the agents, can analyze agent data, and can scale horizontally.
  
• Elastic Stack is where alerts are indexed and stored.

Wazuh Capabilities

Some of Wazuh’s most notable capabilities include:

• Intrusion detection: Wazuh’s agents can detect hidden files, cloaked processes, or unregistered network listeners, as well as inconsistencies in system call responses. Wazuh’s server component uses a signature-based approach to intrusion detection, using its regular expression engine to analyze collected log data and look for indicators of compromise.
  
  
• Log data analysis: Wazuh can read operating system and application logs, and securely forward them to a central manager for rule-based analysis and storage.
  
  
• Integrity monitoring: File integrity monitoring can help identify changes in content, ownership, permissions, and attribute of files. Wazuh’s file integrity monitoring can be used in conjunction with threat intelligence.
  
  
• Vulnerability detection: Wazuh agents can identify well-known vulnerable software so you can see where your weak spots are and take action before an attack can exploit them.
  
  
• Configuration assessment: System and application configurations are monitored to make sure they are compliant with security policies. Periodic scans are used to detect applications that are known to be vulnerable, insecurely configured, or unpatched.
  
• Incident response: Wazuh responds actively when active threats need to be addressed. It can perform countermeasures like blocking access to a system when a threat source is identified.
  
  
• Regulatory compliance: Wazuh includes the security controls required to be compliant with industry regulations and standards.
  
  
• Cloud security: Wazuh’s light-weight and multi-platform agents are commonly used to monitor cloud environments at the instance level. In addition, Wazuh helps monitor cloud infrastructure at an API level.
  
  
• Security for containers: With Wazuh, you have increased security visibility into hosts and containers, allowing for easier detection of threats, anomalies, and vulnerabilities.

Wazuh Benefits

Some of the most valued benefits of Wazuh include:

• No vendor lock-in
• No license costs
• Uses lightweight, multi-platform agents
• Free community support

Wazuh Offers

• Annual support and maintenance
• Assistance with deployment and configuration
• Training and instructional hands-on courses

Reviews From Real Users

"It's very easy to integrate Wazuh with other environments, cloud applications, and on-prem applications. So, the advantage is that it's easy to implement and integrate with other solutions." - Robert C., IT Security Consultant at Microlan Kenya Limited

“The MITRE ATT&CK correlation is most valuable.” - Chief Information Security Officer at a financial services firm