Wazuh MCP Server for Conversational AI Security

Open-source MCP server to query Wazuh SIEM in natural language, enhancing threat detection and incident management.

Wazuh MCP Server for Conversational AI Security

The Wazuh MCP Server for Conversational AI Security is an open-source tool designed to bridge the gap between complex SIEM data and natural language querying. Developed for AI builders and security professionals, this MCP server allows users to interact with their Wazuh SIEM using conversational prompts, significantly streamlining threat detection and incident response workflows. By abstracting the intricacies of SIEM query languages, it empowers a wider range of users to access and analyze security data effectively.

What it Does

This tool functions as an intermediary, translating natural language questions into structured queries that the Wazuh SIEM can understand and execute. It enables users to ask questions like "Show me all failed login attempts from the last hour" or "List critical security alerts from production servers" and receive relevant data directly. This conversational interface reduces the learning curve associated with traditional SIEM query languages, making security insights more accessible.

Key Features

Natural Language Querying: Interact with your Wazuh SIEM using everyday language.
Open-Source: Full access to the source code for customization and transparency.
Enhanced Threat Detection: Quickly identify potential security threats by easily querying logs and alerts.
Streamlined Incident Management: Accelerate incident response by rapidly retrieving necessary security context.
Developer-Focused: Designed with AI builders in mind, facilitating integration into broader security automation pipelines.

Who it's For

The Wazuh MCP Server is ideal for AI developers looking to integrate advanced security analytics into their applications, security analysts seeking more intuitive ways to interact with their SIEM, and DevOps engineers responsible for maintaining system security. It's particularly beneficial for teams that need to democratize access to security data without requiring deep expertise in SIEM query syntax.