Generated by GPT-5-mini| Wazuh | |
|---|---|
| Name | Wazuh |
| Developer | Wazuh Inc. |
| Released | 2015 |
| Programming language | C, Python, Go, JavaScript |
| Operating system | Linux, Windows, macOS, Solaris |
| License | GPLv2 |
Wazuh Wazuh is an open-source security monitoring and endpoint detection platform used for intrusion detection, log analysis, and compliance monitoring. It combines host-based intrusion detection, file integrity monitoring, log collection, and vulnerability detection to support incident response and security operations. Wazuh is often deployed alongside products and projects such as Elastic Stack, Splunk, OSSEC, Suricata, and Zeek in environments managed by organizations like NASA, MITRE, Microsoft, Amazon (company) and Red Hat.
Wazuh originated from concepts in OSSEC development and evolved into a standalone project with contributions from firms and foundations such as Elastic NV, Canonical (company), SUSE, IBM, and Google. It addresses regulatory frameworks and standards such as PCI DSS, HIPAA, GDPR, NIST Cybersecurity Framework, and ISO/IEC 27001 by offering detection rules, reporting, and automated response. The platform interoperates with observability and security tooling created by projects like Kibana, Grafana, Prometheus, Logstash, and Filebeat to provide dashboards and alerting for teams at institutions including Harvard University, Stanford University, and European Commission.
Wazuh uses a distributed architecture with components that mirror designs found in Elastic Stack and Apache Kafka. Core elements include lightweight agents inspired by OSSEC agents, a central manager conceptually similar to Nagios and Zabbix controllers, and a storage/indexing layer compatible with Elasticsearch and backup tools used by PostgreSQL or MySQL. The architecture supports integrations with orchestration systems like Kubernetes, Docker, Ansible, and Terraform, and can be deployed alongside service meshes such as Istio and Linkerd. High-availability patterns reference clustering approaches used by Cassandra, Redis, and Consul.
Wazuh bundles multiple capabilities comparable to offerings from Carbon Black, CrowdStrike, McAfee, and Symantec. Key components include: - Agents that perform file integrity checks akin to mechanisms in Tripwire and endpoint telemetry used by Sysmon and Auditd. - A manager that coordinates rule evaluation, rule sets inspired by YARA and signature databases like those from ClamAV. - A ruleset and decoders system influenced by community projects such as Suricata rules and Snort signatures. - An alerting and reporting stack that integrates with Kibana dashboards, Grafana panels, and notification channels used by PagerDuty, Slack, and Jira. - Vulnerability detection modules referencing databases maintained by NVD and advisories from CVE entries curated by organizations including MITRE and CERT Coordination Center.
Wazuh supports on-premises, cloud, and hybrid deployments following patterns used by AWS, Microsoft Azure, Google Cloud Platform, and OpenStack. It provides containerized deployments for cluster management in Kubernetes and orchestration via Helm charts similar to deployments for Prometheus and Grafana. Scaling approaches mirror strategies from distributed systems such as Elasticsearch shards, Kafka partitions, and Cassandra ring topology; load balancing examples reference HAProxy and Nginx. Enterprise deployments often integrate identity providers like Okta, Azure Active Directory, and Keycloak.
Wazuh integrates with a broad security ecosystem including log shippers and collectors like Filebeat, Fluentd, and Logstash; network sensors such as Suricata and Zeek; and ticketing and orchestration platforms like ServiceNow, Jira, and TheHive Project. It participates in community-driven rule sharing similar to Snort community and collaborates with projects and vendors including Elastic, Red Hat, Canonical, Palo Alto Networks, Fortinet, and Cisco Systems for ecosystem compatibility. The project is documented and extended via resources used by contributors familiar with GitHub, GitLab, and Bitbucket workflows.
Wazuh is used for detection and response in scenarios comparable to implementations by SANS Institute case studies and playbooks from MITRE ATT&CK. Use cases include host-based intrusion detection for environments managed by UN, World Bank, and European Union Agency for Cybersecurity; file integrity monitoring in industrial settings like Siemens and Schneider Electric; log analysis for fintech firms such as Goldman Sachs and JPMorgan Chase; and vulnerability assessment in supply chains overseen by NIST guidance. It supports automated response actions similar to SOAR platforms and incident management practices advocated by CERT teams.
The project governance combines corporate stewardship and community contributions akin to models used by Linux Foundation projects and foundations such as Apache Software Foundation. Contributions flow through platforms like GitHub with code review practices paralleling Linux kernel and OpenSSL development. The community includes individual researchers, consulting firms, and academic labs from institutions such as Carnegie Mellon University, University of California, Berkeley, and Imperial College London, and engages in conferences and events like Black Hat, DEF CON, RSA Conference, and BSides for outreach and roadmap discussions.
Category:Security software