BloodHound
Createdstevenyu113228
Enables Large Language Models to analyze Active Directory and Azure Active Directory environments through natural language queries.
About
BloodHound MCP is an innovative extension of the BloodHound tool, designed to allow Large Language Models (LLMs) to interact with and analyze Active Directory (AD) and Azure Active Directory (AAD) environments through natural language queries. By leveraging the power of LLMs, BloodHound MCP allows users to perform complex queries and retrieve insights from their AD/AAD environments using simple, conversational commands, eliminating the need for manual Cypher query writing.
Key Features
- Customizable Configuration for Specific Environments.
- Natural Language Queries for AD/AAD analysis.
- 79 GitHub stars
- LLM-Powered Query Interpretation and Execution.
- Seamless Integration with Existing BloodHound Neo4j Data.
- Enables conversational commands for complex queries.
Use Cases
- Performing AD/AAD security assessments.
- Investigating potential attack paths in AD/AAD environments.
- Generating reports on AD/AAD security posture.