R

rule-engine

D3FENDer is a security assessment and gap detection tool developed by Michael Favvas for his thesis titled "Development of a security assessment and gap detection system using the MITRE ATT&CK and D3FEND Frameworks". It uses a rule based system to grade an organization's defenses based on the input. It then detects possible gaps and suggests mitigations based on the MITRE ATT&CK and D3FEND Knowledge Bases. The tool can be used in SOC work flows.

Extends commonality/archetypes-rules module with SignatureVariables for more accurate data-leakage detection and prevention.