implementing-endpoint-detection-with-wazuh

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Deploy and configure Wazuh SIEM/XDR for endpoint detection including agent management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, and automated response actions.

AI & Automation 13,115 stars 1533 forks Updated today Apache-2.0

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Skill Content

# Implementing Endpoint Detection with Wazuh ## Overview Wazuh is an open-source SIEM and XDR platform for endpoint monitoring, threat detection, and compliance. This skill covers managing agents via the Wazuh REST API, creating custom decoders and rules in XML for organization-specific detections, querying alerts, and testing rule logic using the logtest endpoint. ## When to Use - When deploying or configuring implementing endpoint detection with wazuh capabilities in your environment - When establishing security controls aligned to compliance requirements - When building or improving security architecture for this domain - When conducting security assessments that require this implementation ## Prerequisites - Wazuh Manager 4.x deployed with API enabled - Python 3.9+ with `requests` library - API credentials (username/password for JWT authentication) - Understanding of Wazuh decoder and rule XML syntax ## Steps ### Step 1: Authenticate to Wazuh API Obtain JWT token via POST to /security/user/authenticate. ### Step 2: List and Monitor Agents Query agent status, versions, and last keep-alive via /agents endpoint. ### Step 3: Query Security Alerts Search alerts by rule ID, severity, agent, or time range. ### Step 4: Test Custom Rules with Logtest Use the /logtest endpoint to validate decoder and rule logic against sample log lines. ## Expected Output JSON report with agent inventory, alert statistics, rule coverage, and logtest validation results.

Details

Author
mukul975
Repository
mukul975/Anthropic-Cybersecurity-Skills
Created
3 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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