AI-Powered
SIEM Integration for Intelligent Security Operations
Connect Wazuh SIEM with large language models using the Model Context Protocol (MCP). Enable natural-language threat detection, automated incident response, and intelligent security analysis for modern SOC teams.
Powerful Security Features
Transform your security operations with AI-powered automation and intelligent analysis.
Natural Language SOC Operations
Query security data, create incidents, and manage alerts using conversational commands.
Automated Incident Response
Execute firewall rules, block IPs, and trigger remediation workflows automatically.
LLM-Driven Threat Analysis
Leverage AI to analyze patterns, detect anomalies, and correlate security events.
Seamless Wazuh MCP Integration
Connect any LLM to Wazuh SIEM through the Model Context Protocol standard.
Enterprise-Grade Technical Specifications
Built for production environments with comprehensive requirements support.
Wazuh Requirements
- Wazuh Manager 4.8.0+ (tested up to 4.12+)
- REST API v4.8+ with authentication
- Port 55000 (configurable)
- SSL/TLS support (recommended)
Indexer Integration
- Wazuh Indexer 4.8.0+ (4.12+ recommended)
- Enhanced analytics & vulnerability data
- Port 9200 with authentication
- Full-text search capabilities
Deployment Options
- Docker-native architecture
- HTTP mode for client interaction
- HTTP / SSE for remote access
- Kubernetes-ready deployments
Enterprise Security Built-In
CyberSentrix-AI is designed with security at its core, following best practices for enterprise deployments and SOC environments.
Seamless Integration with Existing Infrastructure
Connect your AI applications to Wazuh SIEM through a clean, standardized architecture.
AI Client
Custom Next.js App
Claude / GPT / Other LLMs
MCP Server
FastMCP Protocol
Protocol Handler
Wazuh Manager
REST API v4.8+
SIEM Core
Wazuh Indexer
Enhanced Analytics
Search & Analysis
AI Client
Custom Next.js App
Claude / GPT / Other LLMs
MCP Server
FastMCP Protocol
Protocol Handler
Wazuh Manager
REST API v4.8+
SIEM Core
Wazuh Indexer
Enhanced Analytics
Search & Analysis
Production-Ready • All components are containerized and scalable
Powered by Industry-Leading Technology
Built on proven, enterprise-ready foundations for reliability and performance.
Wazuh SIEM Platform
Open-source XDR and SIEM platform delivering unified threat detection, compliance monitoring, and security visibility. REST APIs enable seamless AI-driven SOC workflows.
Model Context Protocol (MCP)
Anthropic's open standard for securely connecting AI assistants with enterprise systems, enabling structured, controlled, and auditable AI interactions.
FastMCP Framework
High-performance Python MCP implementation optimized for production workloads, featuring connection pooling, security controls, and scalable architecture.
Frequently Asked Questions
Everything you need to know about CyberSentrix-AI.