More generated output creates more review surface
Examples, tests, scripts, and configuration can carry copied credentials or unsafe defaults.
AI-assisted development
Validate AI-assisted code before it becomes trusted production code.
SecOpsium reviews the repository output your team owns. It does not inspect prompts, IDE sessions, agent memory, or prove whether a person or model authored a line.
Why This Matters
Committed code becomes your responsibility
Authorship does not change the product risk of what reaches the repository.
Validation should happen before trust
Treat AI-assisted output like any other untrusted contribution until review and supported checks pass.
What SecOpsium Scans
- Supported credential patterns in repository content.
- Supported code findings produced by the current OpenGrep workflow.
- Supported client-side exposure signals when a web validation is run.
- Supported GitHub repository controls when configuration audit is selected.
Validation workflow
- 1Commit or stage AI-assisted output in an authorized repository workflow.
- 2Run the relevant supported validation.
- 3Review findings without assuming authorship.
- 4Rotate, remove, restrict, harden, or revise the code.
- 5Run another validation before release.
Frequently Asked Questions
Can SecOpsium tell whether AI wrote a finding?
No. It evaluates supported evidence in the repository, not authorship.
Does it monitor an AI coding agent in real time?
No. Validation runs against supported repository or web targets.