Asi implementing-endpoint-detection-with-wazuh

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.

install

source · Clone the upstream repo

git clone https://github.com/plurigrid/asi

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/plurigrid/asi "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/asi/skills/implementing-endpoint-detection-with-wazuh" ~/.claude/skills/plurigrid-asi-implementing-endpoint-detection-with-wazuh && rm -rf "$T"

manifest: plugins/asi/skills/implementing-endpoint-detection-with-wazuh/SKILL.md

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.