Enables querying the MITRE ATT\&CK framework for adversarial tactics, techniques, mitigations, and detection methods through natural language, supporting both ID-based and fuzzy name-based searches.
Enables AI-native access to the MITRE ATT\&CK framework, allowing LLMs and agents to query techniques, threat groups, software, and generate ATT\&CK Navigator layers for threat intelligence and security workflows.
Exposes the MITRE ATT\&CK framework to LLMs and AI assistants via the Model Context Protocol, enabling querying of techniques, tactics, groups, software, and mitigations.
Enables querying MITRE Common Weakness Enumeration (CWE) data, including weaknesses, categories, views, and their relationships, through natural language or direct tools.
Provides LLM access to the SOLVE-IT Digital Forensics Knowledge Base, enabling natural language exploration of investigation techniques, weaknesses, and mitigations.