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Wazuh

23

Transforms security operations by integrating Wazuh SIEM with conversational AI for natural language threat detection and automated incident response.

About

Wazuh bridges the gap between traditional SIEM operations and conversational AI, enabling security teams to interact with their Wazuh infrastructure using natural language through Claude Desktop. This solution provides a paradigm shift in how security operations are conducted, leading to 10x faster incident response by allowing conversational queries of security data. It leverages Claude's reasoning capabilities for AI-enhanced analysis, automates workflows, provides real-time intelligence from multiple threat sources, and significantly lowers the learning curve for new team members.

Key Features

  • Automated incident response and security workflows based on natural language commands
  • 23 GitHub stars
  • Advanced threat detection with multi-dimensional risk scoring and ML-based anomaly detection
  • Real-time threat intelligence integration from sources like VirusTotal, Shodan, and AbuseIPDB
  • Automated compliance monitoring and report generation for frameworks like PCI DSS, HIPAA, and GDPR
  • AI-powered natural language interface for security operations via Claude Desktop

Use Cases

  • Accelerating incident response by conversing with security data instead of complex query writing
  • Automating compliance reporting and gap analysis for various regulatory frameworks
  • Performing AI-enhanced threat hunting and vulnerability assessments using natural language