pytm threat model from IaC

Generating a threat model from AWS IaC involves analyzing CDK constructs to infer trust boundaries and cross-boundary dataflows, then building an executable pytm script to produce structured security findings for evaluation.

The best way to convert pytm findings into ACSE-Eval JSON is to execute the generated pytm threat model script, which produces gap-analysis artifacts including findings.json and threat-model.json with specified threat-framework mappings and deduplication rules for ground-truth comparison.

Yes, you can use pytm to analyze AWS infrastructure as code by applying this Skill to IaC projects. It infers security attributes and IAM grants from the codebase, executes a generated pytm script, and delivers gap-analysis artifacts for security evaluation.

Generating a pytm threat model from IaC requires the pytm dependency to be installed. The Skill relies on pytm to execute the generated threat model script and produce the resulting findings and threat-model JSON artifacts for evaluation.

You can automate threat modeling across multiple AWS CDK projects by applying this Skill iteratively to your IaC directories. It writes a standardized output directory structure containing findings.json and threat-model.json, enabling repeatable security evaluations across applications.

During threat modeling from infrastructure as code, trust boundaries, security attributes, IAM grants, and cross-boundary dataflows can be inferred directly from the CDK codebase to construct the pytm architecture and identify potential security gaps.