audit-context-building

Build security audit context by performing line-by-line code analysis to reconstruct invariants and trace cross-function dependencies. This ensures consistent reasoning across internal and external call boundaries before any vulnerability discovery begins.

Invariant tracking reconstructs data flow, trust boundaries, and assumptions across functions during code analysis. It prevents shallow audits by forcing ultra-granular, micro-level comprehension to ground later bug finding in evidence.

Trace function dependency maps by maintaining strict continuity through call chains and treating true external black-box calls as adversarial. This documents inputs, assumptions, outputs, and effects across available code.

Yes, this approach works for multi-module codebases requiring deep architectural understanding. It applies micro-first first-principles reasoning to produce stable mental models across complex blocks and functions.

Building architectural context first prevents error-prone auditing by establishing evidence-based outputs with explicit uncertainty where code is missing. It ensures threat modeling is grounded in precise execution and dependency context.

Line-by-line code analysis requires strict continuity and documents explicit uncertainty where code is missing. It treats external calls as adversarial black boxes, meaning full context reconstruction depends heavily on available source code access.