Learn how to build a Wazuh and Pulsedive integration from scratch to enrich security alerts with actionable threat intelligence. This integration helps SOC analysts automate threat enrichment, add context to indicators, and accelerate security investigations.

This is the first in a series of six practical technical guides created to demonstrate how Wazuh can automate the collection of evidence for the controls of Annex A of ISO/IEC 27001:2022. Each section will cover specific controls with real-world production codes, decoders, and rules, available in our complementary GitHub repository. This guide serves as the conceptual and technical foundation needed for any professional, even beginners, to start using Wazuh as a compliance audit engine.

Installing Wazuh is easy. Running it reliably in production for months or years is not. Most teams install Wazuh, see the green dashboard, and assume everything is fine. A few weeks or months later, they start facing serious problems:
The manager crashes and the entire SOC loses visibility
The dashboard suddenly shows “No results match your search”
Disk fills up and the indexer goes into read-only mode
Adding more agents makes the system slower instead of better
After a reboot, services fail to start properly
These are not random bugs. They are the predictable result of missing threat modeling at deployment time.

In this deep-dive, we’ll build a practical Scalability + Availability Threat Model for Wazuh — complete with real failure stories, architecture progression, sizing guidelines, monitoring metrics, recovery steps, and a production readiness checklist.

An open-source Wazuh SIEM framework (custom rules, decoders, wodles, SCA checks, and dashboards) for detecting unauthorized “Shadow AI” tool usage—like local LLMs, AI API calls, and exposed API keys—across an organization’s endpoints.

Discover how Wazuh integrates MITRE ATT&CK into the security detection workflow, providing analysts with greater context around alerts and attacker techniques. Learn how to use ATT&CK views, extend detection coverage with custom Wazuh rules, and improve threat investigation and prioritization.

This article walks through the architecture, implementation approach, detection strategy, and lessons learned while building the integration.

In this use case, we install Docker Engine on the Ubuntu Server (where the Wazuh agent is already installed), configure the Wazuh agent to monitor Docker events, and verify that the alerts appear correctly on the Wazuh Dashboard.