A general code review checks whether a pull request works, reads cleanly, and won't break the build in production. Secure code review asks a narrower question: does this diff open a path an attacker can walk through? Those are different jobs, and most teams only have a process for the first one.
The general process layer, PR size ceilings and turnaround SLAs for a distributed team, holds steady whether or not a change gets flagged for security. It sits alongside the rest of our Engineering management guides for CTOs and VPs of Engineering. What most teams lack is the vulnerability-specific pass: a checklist mapped to OWASP and the CWE Top 25, who owns that check, and what changes once the PR under review is AI-generated.
What secure code review checks that a general code review doesn't
OWASP's Secure Code Review Cheat Sheet groups the vulnerability patterns into six categories: input validation, injection, authentication and session management, access control, insecure deserialization, and cryptographic failures. None of those show up in a typical PR template built around readability, test coverage, and whether the change does what the ticket says. A pull request can pass every one of those checks clean and still ship a SQL injection path, because "does this work" and "is this safe" get answered by looking at completely different things.
Cryptographic failures are the easiest category to wave through by accident, because weak crypto usually still works. A session token needs at least 128 bits of entropy to resist brute-forcing; a shorter one authenticates users fine right up until it doesn't. Algorithm choice works the same way: AES-256, RSA-2048 or larger, ECDSA on P-256 or better is the baseline. A homegrown hashing scheme or a cipher chosen because it was already imported into the project shouldn't get waved through just because the feature works end to end.
How to set up secure code review for your team
1. Map your checklist to OWASP ASVS and the CWE Top 25
Start with two documents instead of a blank page. OWASP's Application Security Verification Standard, now at v5.0.0 as of May 2025, gives a structured checklist a reviewer can apply line by line rather than a set of principles to keep in mind. Layer the 2025 CWE Top 25 on top of it to decide what to check first: cross-site scripting ranks #1, SQL injection #2, CSRF #3, and missing authorization #4, up five positions from the prior list, based on more than 39,000 CVEs disclosed between June 2024 and June 2025. Missing authorization climbing five spots in a year is worth reading literally: a checklist that treats access control as a footnote is weighted wrong for the bugs actually being disclosed.
2. Decide which PRs get a security-specific pass
Running the full ASVS checklist against every PR doesn't survive a real sprint. Triage instead: anything touching authentication, payment handling, external input parsing, or a data-access path gets the full security pass; a CSS tweak or a copy fix doesn't. Draw the line by what the code touches, not by who wrote it or how big the diff is. Those are the general-process questions, and they've already got an answer.
3. Assign who reviews for security
Two models work, and they don't work equally well at every team size. A security-champion model puts one or two engineers per team on the hook for the checklist and pulls them into every flagged PR; it holds up as long as the team is small enough that the champion isn't a bottleneck by Thursday. Whole-team responsibility spreads the checklist across every reviewer, which scales better on a bigger team but only if every reviewer has actually been trained on it, not just handed a link.
Either model runs into a question blended teams already have to answer for general review: who holds review authority on a blended team. A security champion who's a senior augmented engineer rather than an in-house hire should have the same authority to block a merge as anyone else in that role. The security question doesn't change who gets to say no.
4. Layer automated scanning ahead of human review
SAST and SCA tools in CI catch the mechanical part of this before a human reviewer opens the diff: known-vulnerable dependencies, a chunk of the injection and crypto-misuse patterns, secrets committed by accident. That's the Produce Well-Secured Software group inside NIST's Secure Software Development Framework, one of four practice groups the framework lays out for building security into the SDLC instead of bolting it on afterward. None of this replaces a human reviewer. A scanner flags patterns; it doesn't reason about whether a specific access-control decision makes sense for a specific business rule. Pick tools by category (static analysis, dependency scanning, secrets detection) rather than defaulting to whichever vendor's sales page pitches hardest. Every major AppSec vendor markets an all-in-one platform, and the category matters more than the brand behind it.
5. Add a distinct security pass for AI-generated code
A 100-developer study of AI-generated code suggestions put people in front of suggestions engineered to vary in security while functionality stayed constant, then had them pick, edit, and ship. Only 22% of the 400 final submissions came back fully secure, and just 5% of the 100 developers held that line across all four tasks. Reviewing each suggestion took an average of 37 seconds, according to the researchers' preprint, accepted to IEEE Security & Privacy '27. A glance isn't a security review. That's the case for treating an AI-generated PR as its own triage category, not folding it into step 2's general risk sort.
Cursor's Security Review bot runs an automated pass for SQL, command, and template injection, auth and authz bypass, exposed secrets, SSRF, unvalidated redirects, unsafe deserialization, and vulnerable dependency changes before a human reviewer sees the diff. Setting up GitHub Copilot code review works from the other direction: repo-wide instructions in .github/copilot-instructions.md, path-specific rules under .github/instructions/**/*.instructions.md, and no human sign-off required by default, which means a team has to turn that requirement on rather than assume it's there. Either tool plugs into this step. Neither replaces it.
6. Track findings to closure
A finding sitting open in a ticket tracker isn't a fixed vulnerability. NIST's framework calls this the Respond to Vulnerabilities practice group, and it earns its own owner and deadline, separate from whatever scan or review surfaced the issue in the first place. Verify the fix actually closes the vulnerability class it was flagged for, not just that the specific line changed. A patched SQL injection that leaves the same unparameterized-query pattern three functions over hasn't fixed the underlying problem.
Frequently asked questions
What is secure code review vs a regular code review?
A regular code review checks correctness: does the change do what the ticket asked, does it read cleanly, does it break anything downstream. Secure code review checks a narrower, specific set of failure modes, the OWASP categories: injection, broken authentication, broken access control, insecure deserialization, and weak cryptography among them, that a correctness-focused review routinely misses because a vulnerable line of code often works perfectly under normal conditions.
What should a secure code review checklist cover?
At minimum, the OWASP vulnerability-pattern categories mapped to your stack, plus the CWE Top 25 ranked by real-world prevalence so a reviewer knows what to check first under time pressure. A checklist without a ranking gets treated as equally optional across every item, and in practice the item at the bottom never gets checked.
Should AI-generated code get an extra security review step?
Yes. Developers given AI suggestions engineered to vary in security couldn't reliably tell the secure ones from the insecure ones in the time they naturally gave themselves, about 37 seconds a suggestion. A same-glance approval isn't a security check. A distinct step, with its own checklist and its own time budget, is what the evidence supports.
Who should perform secure code review on a blended or nearshore team?
Whoever holds general review authority on that team should hold security-review authority too, senior augmented engineers included. Restricting a security check to in-house staff only, when a senior nearshore engineer would otherwise have full sign-off authority, treats employment status as a security credential. It isn't one.
Do automated security scanners replace manual secure code review?
No. SAST and SCA tools catch known patterns, vulnerable dependencies, and common injection signatures fast and consistently. They don't reason about whether a specific access-control decision fits the business logic of the feature, or whether a deserialization call that looks fine in isolation is dangerous given what calls it. Automated scanning goes ahead of the human pass, not instead of it.