pytm

You can automate STRIDE threat modeling in Python by defining your security architecture as code using pytm, which programmatically enumerates threats and generates data flow diagrams. This replaces manual diagramming with scriptable, version-controlled analysis.

Programmatic threat modeling defines application architectures directly in Python code to automatically identify security threats. It generates data flow diagrams and risk reports aligned with frameworks like STRIDE, OWASP, and MITRE ATT&CK, enabling threat models to be maintained as code.

Yes, you can integrate threat modeling into a CI/CD pipeline by running Python scripts that execute pytm against your architecture-as-code definitions. This enables shift-left security by automatically generating data flow diagrams and threat reports during the build process.

Yes, you need the graphviz package installed alongside Python 3.7 or higher to generate data flow diagrams. The pytm library relies on graphviz to render the visual DFD outputs from your programmatic threat model definitions.

pytm supports risk analysis using STRIDE, OWASP, and MITRE ATT&CK frameworks. It processes your Python-defined architecture to output structured threat models, diagrams, and reports aligned with these major security assessment standards.

The best way to maintain threat models for version control is defining them programmatically as Python code. This approach treats threat modeling as architecture-as-code, allowing teams to track changes, automate updates, and generate STRIDE reports within standard development workflows.