Wazuh

Integrating LLM Assistant with Wazuh SIEM Enables Natural Language Queries and Alert Analysis

Wazuh collects security events effectively but requires knowledge of query languages and hundreds of index fields to extract answers. Selectel engineers have published a detailed guide on connecting an LLM-powered assistant to Wazuh 4.14.7 using OpenSearch plugins. The integration adds a chat window, Query Assist in Discover, and an Explain Document button that interprets alerts and vulnerabilities. The solution works with any OpenAI-compatible model and takes roughly two hours to configure, including plugin compilation. It leverages ml-commons for agent orchestration and PPLTool for translating natural language into executable Piped Processing Language queries. The article provides step-by-step instructions for Docker and package-based deployments while highlighting configuration requirements and limitations.

Building a Minimal Open Source Security Stack for Infrastructure Protection

The article outlines a practical approach to assembling a basic cybersecurity stack using open source tools for organizations with limited budgets. It covers endpoint protection with ClamAV, network perimeter defense via pfSense including Snort and Suricata integration, centralized logging with ELK Stack or Wazuh, and identity management through Keycloak. The guide emphasizes that these solutions provide foundational capabilities but require careful configuration, regular updates, and community validation to avoid risks from unmaintained projects. Detailed installation steps, rule configuration examples, and integration advice are provided for each component. The author stresses that open source options serve as an entry point rather than a full replacement for commercial platforms like Kaspersky or Symantec.