Review AI-generated code against the same security requirements as any other contribution. Before launch, identify sensitive workflows, inspect the relevant code and configuration, then test the deployed application with the identities and data those workflows depend on.

Start with the decisions your application must protect

Treat the release as a set of decisions: who may invite a colleague, download a document, change a subscription or approve a refund? Write the allowed behavior before reviewing the implementation. This gives developers and testers a shared definition of a defect.

Consider a hypothetical client portal with an invoice download feature. A customer should retrieve invoices belonging to their organization. A support employee may have different access, with an audit trail. An anonymous visitor should retrieve neither. That short rule is more useful than asking a coding assistant whether the entire project is secure.

OWASP's Secure Coding with AI guidance emphasizes human accountability and scrutiny of generated changes. AI assistance can accelerate implementation; the application owner still needs to decide whether the result satisfies the intended requirements.

Review permissions, secrets and dependencies before launch

Prioritize the changes that touch identities, valuable data or external systems. Reviewing every formatting change with equal attention can hide the small permission change that matters most.

AreaQuestion to answerEvidence to collect
AuthorizationWhere does the server check the current user's right to this record or action?The enforcement path and a test using a second identity.
SecretsCould a private credential enter browser code, a repository or a log?The relevant build output and configuration path, with secrets redacted.
DependenciesAre new packages authentic, necessary and reviewed for known issues?The locked dependency versions and review results.
Sensitive inputsHow do user-controlled values reach queries, templates or commands?The input-to-operation path and the applicable defensive control.
Business rulesCan a request skip an approval or change a protected state?Expected transitions and observed application behavior.

For authorization, OWASP recommends denying access by default and checking permissions on each request. Hiding a button is a useful interface choice, but the server must still enforce the underlying decision.

RELEASE / EVIDENCE

From generated change to a release decision

The code and the running application provide complementary evidence for the same invoice permission rule.

  1. 01

    Define the rule

    A customer can download only their organization's invoices.

  2. 02

    Review the change

    Trace identity and organization checks through the download route.

  3. 03

    Verify behavior

    Test allowed and refused access with disposable invoices.

  4. 04

    Retest the fix

    Record the build, result and any unassessed areas.

Illustrative release workflow. Evidence should connect the intended rule to the observed result.

Connect code review to application security testing

Source review shows how a control is intended to work. Testing the running application shows what happened with a particular build, identity and configuration. Use both perspectives where the release requires them. A correct helper function is not enough if the invoice route never calls it.

For the portal example, prepare two test organizations with disposable invoices. Verify that each account can download its own invoice. Then exercise the same download flow against the other organization's test record. Record the expected refusal, the actual response and whether any protected file was returned. A status code alone may not tell the whole story.

This is where Sectiv's configured web and API testing can add context to a release review. We discuss the workflows, accounts and environment your team wants assessed, then use that scope to guide testing and the review of findings. Source review requirements should be agreed explicitly alongside the running-application assessment.

Check what a passing test actually proves

A generated test can confirm the happy path without checking the security rule. An invoice test might assert that a logged-in customer receives a PDF, while never asking which organization's PDF it is. Read the assertion as carefully as the implementation.

Add cases with a different role, a different organization and an expired session where those states are relevant. Confirm that the ordinary authorized action still works after the fix. For this portal, the release evidence should show both permitted access and a refused cross-organization request.

OWASP's AI coding guidance also addresses fabricated or weakened tests and unreviewed edits. Inspect changes to test files and security configuration, particularly when an assistant changes them while resolving a failure. Keep an independent expectation of the required behavior.

Turn the review into a clear release decision

A useful handover names the build, tested workflows, confirmed findings and remaining gaps. If a login failure prevented testing the invoice area, mark that area unassessed. Do not let an empty finding list silently turn into a statement that every customer workflow was checked.

Give each confirmed issue an owner, a fix expectation and a retest condition. For the invoice issue, the condition is concrete: the other organization's document is unavailable to the customer, while their own invoices remain accessible. Our finding validation guide explains how evidence supports that decision.

Plan your pre-launch review with Sectiv

Bring your launch date, application URL and two or three sensitive workflows to a Sectiv call. We can discuss the access needed, the review scope and where human guidance will help your team interpret results. Whether your team calls its process AI-assisted development or vibe coding, the deliverable should be a clearer understanding of the application you are about to ship.

Common questions

Is AI-generated code less secure than human-written code?

That conclusion needs evidence about a particular model, task and review process. For your release, focus on the code and behavior you are shipping. Both generated and human-written contributions need review against the application's security requirements.

Can an automated scan replace source code review?

They provide different views. A scan can exercise reachable application behavior; source review can examine implementation paths and configuration. Choose the combination based on the release risks and record any areas that remain outside the assessment.

What should I prepare for a pre-launch security assessment?

Provide the approved application scope, tested build, sensitive workflows, suitable test accounts and disposable records. Agree any source access separately. A clear description of the intended permissions makes unexpected behavior easier to recognize and fix.

YOUR NEXT STEP

Review what matters before you launch.

Launching an AI-built feature? Book a Sectiv call to scope the web and API testing, access setup and expert review your release needs.

Book a Sectiv demo
References & further reading