BloodHound AI
CreatedMorDavid
Analyzes Active Directory attack paths using natural language queries via a BloodHound and Model Context Protocol (MCP) integration.
About
BloodHound AI integrates BloodHound with AI through the Model Context Protocol (MCP), enabling security professionals to analyze Active Directory attack paths using natural language instead of complex Cypher queries. By leveraging BloodHound's Active Directory security analysis capabilities and MCP's AI integration, users can query BloodHound data in plain English, discover complex attack paths, assess security posture efficiently, and generate detailed security reports.
Key Features
- Natural Language Interface for querying BloodHound data.
- Compatible with various AI models.
- Comprehensive analysis of domain structure, privilege escalation, Kerberos security, and more.
- 9 GitHub stars
- Generates detailed security reports for stakeholders.
- Leverages Model Context Protocol (MCP) for AI integration.
Use Cases
- Assess Active Directory security posture more efficiently.
- Identify Domain Controllers vulnerable to NTLM relay attacks.
- Discover complex attack paths in Active Directory environments.
