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What you are probably seeing
Your audit logs show a long list of manual review tasks that never quite get finished, leaving you uncertain if every dangerous code path was actually checked.
You see the same validation errors flagged in code review, but without automated gates, it is easy to miss a subtle bug in one of the hundreds of libraries you depend on.
Why it happens
Manual inspection scales poorly as your codebase grows, making it impossible for a single human to verify that specific unreachable code paths remain safe across all dependencies.
Input validation rules are often implicit or scattered across multiple files, meaning a change in one place can silently break a safety constraint established in another without any obvious warning.
What changed recently
Step by step
1. Map your critical business logic to specific, verifiable static analysis rules to determine exactly which safety constraints can be automated in your current tech stack.
2. Run a baseline scan on your existing codebase to identify current gaps where input validation is not being enforced by your linter.
3. Configure your CI/CD pipeline to block any new code or dependency updates that violate these specific validation rules.
4. Document the exact code paths that remain manually reviewed and how you have proven their safety to satisfy audit requirements.
5. Set a recurring review process to verify that your static analysis rules stay in sync with your application’s evolving security needs.
Ways to go further
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