If your job is to account for every change in a controlled codebase — the configuration-management discipline, the CMVC lineage — you have a new problem: the tools writing the code don't sign their work.
Change control has always leaned on the commit history: who changed what, when, and why. AI assistance breaks each pillar in turn. Agents modify code under a developer's own identity; co-authorship trailers are voluntary and strippable, so measured attribution rates are floors, not totals; and generated diffs are large, uniform and replacement-shaped, which defeats the reviewer's reading of them. The history still exists — it just no longer tells the whole truth.
The code itself cannot misreport. Compare any two configurations of the codebase — releases, baselines, audit dates — and derive the record from the artifact: every statement added, deleted, or edited in place, classified per file, at logical-statement level so reformatting scores zero and real change scores exactly what it is. Statement-level change accounting has the right pedigree for this work: it was first demanded by an avionics organisation whose line counter could not tell them what had changed.
Because the measurement is deterministic — no ML, no sampling — the same two configurations produce the same record for you, your supplier, and your auditor. Disputes reduce to arithmetic anyone can re-run.
CodeDelta produces this record in one command per baseline pair — CLI or scheduled CI job, 43 languages, proven on single scans up to 43.5 million lines, running entirely inside your own infrastructure. Run it across your last two releases and compare what it reports with what your current change log claims. The gap between the two is the size of your problem.