AI remediation & verification
Plausible is not correct
Mission impact
AI tools produce plausible software faster than teams can evaluate it. A risk-ordered audit, traceable fixes, and tests a reviewer can fail turn that pile into something you can own.
The last mile after the generator
AI tools write plausible software faster than most teams can evaluate it. We audit what you already run. We remediate in risk order. We verify with evidence. We leave the harness and the ownership.
What an engagement includes
A codebase and architecture audit that separates defects from noise. Fixes that are reviewed and traceable. Tests around the behavior that matters. A report of what was wrong, what changed, and what remains.
Judgment first
Governed agents may sweep and classify. Engineers own every finding and every fix. If remediation is not economical, we say so; that finding hands to Software Development.
Related
DevSecOps holds the gated pipeline the tests wire into. Agentic AI Development is how we build new workflows. This practice is cleanup.
Key capabilities
Audit
What is broken, unsafe, or unverifiable. In context.
Risk order
Correctness and security before style.
Verification
“It works” is a test, not a sentence.
Residual risk
Unfixed items stay on the record.
In-boundary
Source does not leave for a third-party analyzer.
Sovereignty features
Source stays in your boundary; nothing is routed through an external analysis service. The test harness and the report leave with you.
Defense & government relevance
Correctness and security come before style. Unfixed items stay on the record as residual risk; there is no “it is clean” without a failing case.