audit-context-building

Threat modeling requires ultra-granular context-building to trace data lineage across modules and preserve a persistent mental model. This prevents hallucinations by enforcing micro-analysis workflows, invariants, and block-by-block analysis across complex codebases.

Code analysis hallucinations are prevented by forcing line-by-line reasoning and maintaining a persistent mental model. This structured micro-analysis workflow enforces invariants and cross-function traceability to minimize context loss during audits.

Trace cross-function data lineage by performing per-function micro-analysis with explicit inputs, outputs, and invariants. Mapping dependencies and external calls preserves data lineage across modules during architecture reviews.

Yes, ultra-granular analysis prepares structured outputs for threat modeling by producing per-function purpose statements, block-by-block analysis, and dependency mapping. This phase-based workflow ensures audit readiness and improves accuracy.

Line-by-line code analysis works for pre-vulnerability discovery in large codebases by applying a phase-based workflow: initial orientation, ultra-granular analysis, and global system understanding. This minimizes context loss across complex modules and improves accuracy.