When automated scanning runs on every pull request, a human reviewer can spend less time on known vulnerable patterns and more on authorization, business logic, design and whether a tool's finding is real. Skip nothing blindly, but reorder your attention toward what tools judge poorly.
What OWASP says about the split
The OWASP Secure Code Review Cheat Sheet describes manual review as examining code to find vulnerabilities that automated tools often miss, with human analysis most valuable for business logic validation, complex security implementations and context specific vulnerabilities. It describes automated tools as assisting by highlighting areas of concern, while the core analysis relies on human judgment.
It also suggests a tool integration strategy: run automated tools before manual review to identify obvious issues, use findings to guide deeper investigation, apply human judgment to filter false positives, and focus manual effort on areas tools cannot analyse effectively.
A practical division of labour
| Question | Better handled by |
|---|---|
| Is a string concatenated into a query? | Tool, with human spot check |
| Does a dependency have a known advisory? | Tool |
| Is a known weak function called? | Tool |
| May this user see this record? | Human, with a test |
| Does this workflow allow skipping a step? | Human |
| Was a check removed? | Human, reading deletions |
| Is the design sound for the threat? | Human |
| Is this finding a false positive? | Human |
| Did the right people review risky files? | Policy plus human |
The left column are recognisable patterns. The right column require knowing what the application is supposed to do.
What a human can speed past
- Lines a tool has already flagged and the author has fixed. Confirm the fix, do not rediscover the issue.
- Style and formatting, which a linter can enforce.
- Dependency advisory lookups, where a tool can check versions against known issues.
What a human should never hand over
- Authorization. A tool cannot know that customer A must not see customer B's invoice unless it has been told the rule.
- Business logic. OWASP lists state transitions, workflow bypass, rollback and concurrent access as areas to review by hand.
- Design questions. Whether a feature should exist in this shape at all.
- Triage. A tool reports a candidate. A person decides whether it matters here.
Keep tool noise from eating the review
A pull request with thirty tool comments teaches reviewers to scroll past all of them. Tune the tool, suppress known false positives with an expiry and a reason, and require that meaningful findings alone block. When tool output is trusted, reviewers read it. When it is not, they ignore it and your human attention is wasted looking for what the tool should have caught.
A reviewer's reading order with a scanner in the loop
- Read the tool summary for the pull request.
- Confirm that each finding is real or suppressed with a reason.
- Then read the diff for what the tool cannot see: missing checks, logic gaps, removed controls.
Try it yourself
Open the demo to see a pull request gate with results from a scan. Decide which findings you would trust the tool on, and which you would still check by hand.
Click through it at your own pace, or open it full screen.
Safeguard runs reachability analysis, so findings in dependencies are ranked by whether the vulnerable code is actually called, which gives reviewers fewer, better findings to confirm.
Quick check
Does a clean scan mean the review can be shorter?
Somewhat, for known patterns. It says nothing about authorization or business logic, which still need human review.
Who owns false positive triage?
Usually the author proposes a suppression with a reason, and a reviewer or champion approves it.
Sources
Last reviewed: 19 October 2026.
