repo-architecture-analysis

To extract trust boundaries and data flows for threat modeling, analyze the git repository structure to identify architectural patterns, system components, and security-relevant code. This automated reconnaissance maps tech stacks and entry points to generate structured inputs for frameworks like STRIDE or PASTA.

You can automate STRIDE analysis reconnaissance on a microservices codebase by scanning the repository to map components, trust boundaries, and data flows. This process identifies authentication, authorization, and cryptographic patterns to highlight potential vulnerabilities and accelerate threat modeling.

The best way to identify security patterns and attack surfaces in source code is to programmatically analyze the architectural patterns and database configurations. This reconnaissance extracts system components and data flow information to highlight potential vulnerabilities for security auditing tasks.

No specific dependencies are required to perform automated code analysis for threat modeling using this approach. You can scan the current directory directly to generate a comprehensive architectural summary, extracting necessary component lists and data flow diagrams without external libraries.

Architectural pattern extraction highlights potential vulnerabilities by programmatically identifying authentication, authorization, and cryptographic patterns within the codebase. This security pattern extraction maps the tech stack and entry points to rapidly identify attack surfaces and security-relevant code.

You should not use automated reconnaissance for security auditing tasks when a repository lacks a clear architectural structure or when manual threat modeling is required to capture complex, implicit trust boundaries. Automated extraction focuses on explicit code patterns and data flow configurations.