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Wazuh

As explained in Data-Driven Cybersecurity

Wazuh is an open-source security platform for threat detection, file-integrity monitoring, vulnerability detection, and compliance analysis.

Wazuh is an open-source platform for continuous security monitoring. It brings threat detection, vulnerability detection, file-integrity monitoring, and compliance analysis into one view, helping teams turn activity across their systems into findings they can investigate. section 8.2

Agents on endpoints send information to a central Wazuh server for analysis and display in a dashboard. Wazuh can run on one server or scale across multiple nodes. Its rule-based engine monitors logs, network traffic, and file integrity, then alerts on suspicious activity. section 8.2

Use the findings according to the decision they support:

  • Investigate alerts about unusual login attempts, unauthorized file changes, or unexpected network connections before they become larger incidents. section 8.2
  • Prioritize corrective action using detected vulnerabilities and their severity. section 8.2
  • Review compliance reports and dashboards against requirements such as PCI DSS, GDPR, and HIPAA. section 8.2

From alert to incident analysis

Suppose Wazuh flags an unauthorized change to a critical file alongside unusual login attempts. Collect the relevant alerts, logs, and network data; correlate them for indicators of compromise; then reconstruct the event timeline and assess which systems or data were affected. The alert starts the investigation—it does not, by itself, establish the incident’s cause or business impact. section 8.2 section 9.5

Set alerts and thresholds against the organization’s risk tolerance, and pair monitoring with clear reporting and response. Wazuh can integrate with the ELK Stack for visualization, but open-source deployments can demand substantial configuration and maintenance. Judge success by whether findings support timely, prioritized action—not by alert volume alone. section 10.2.5 section 3.5.1 section 8.8

How Data-Driven Cybersecurity covers it

How deep it goes
Explains agent-to-server data flow, dashboard use, and detection capabilities, but does not specify installation commands or rule syntax.
Examples
Illustrates detection through unusual logins, unauthorized file changes, and unexpected network connections.
What you can do after
Operate/configure it to monitor assets, tune risk-aligned alerts, and supply findings for investigation and reporting.
How it connects
Connects continuous monitoring with incident triage, vulnerability management, compliance monitoring, and the ELK Stack.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Data-Driven Cybersecurity. The section links point to the parts of the book it draws on.