Not without checks. Treat an AI-suggested fix like a patch from a stranger: read the diff, run tests that exercise the vulnerable path, and rescan the result. The model can sound certain and still be wrong, so the proof has to come from your tooling, not from the explanation attached to the patch.
Why untrusted is the right default
OWASP's improper output handling entry says to treat the model as an untrusted user and to validate its responses before they reach other systems. Its examples include LLM-written code that introduces SQL injection or exposes sensitive data, and recommendations of nonexistent packages that attackers could fill with malware. A suggested fix is model output headed for your codebase, so the same rule applies.
The verification steps
- Read the diff before the explanation. The summary describes intent. The diff is what ships.
- Check what changed beyond the fix. Look for new dependencies, changed config, disabled checks, loosened permissions and edits to test files.
- Confirm every new package exists and is the one you expect. Look at its registry page, age and maintainers.
- Write or run a test that fails before the fix and passes after. If you cannot make a test fail on the old code, you have not shown the problem existed or is gone.
- Rescan. Run the same scanner that found the issue and confirm the finding is gone and no new finding appeared.
- Review the whole pull request like any other. Same reviewers, same required checks.
- Record that the change was AI assisted according to your team convention.
Patterns that look like fixes but are not
| Pattern | Why it fails |
|---|---|
| Adds a suppression comment | Hides the finding, keeps the flaw |
| Catches the exception and continues | Removes the symptom, not the cause |
| Validates in the client only | Attacker bypasses the client |
| Bumps to a version that does not exist | Build fails or a squatted package installs |
| Rewrites the failing test | The check no longer checks |
Who approves
The author of the pull request, human or not, should not be its only approver. Require a person who understands the code path. See tests to demand before merging AI-written code for a deeper list.
Make the checks automatic
The more of this runs on every pull request, the less depends on reviewer energy. Required status checks for tests, dependency review and a security scan catch the mechanical failures and leave humans the judgement calls.
Try it yourself
Click through it at your own pace, or open it full screen.
Click through a proposed fix and look for what you would verify before merging it.
Where Safeguard fits
Safeguard can open autonomous fix pull requests, which are off by default with every category on Manual, so a person approves each one. Policies and gates then rescan the change before it merges. Try it with a free scan at https://gold.safeguard.sh/scan.
Quick check
If the tests pass, is the fix good?
Only if a test covers the vulnerable path. Passing tests that never touched the flaw prove little.
Is a fix from a trusted vendor tool exempt from review?
No. Source does not replace verification. Run the same checks.
Sources
- OWASP GenAI, LLM05:2025 Improper Output Handling: https://genai.owasp.org/llmrisk/llm052025-improper-output-handling/
Last reviewed: 19 October 2026.
