Define the security question
A playbook for reviewing AI-generated code where the main risk is not style, but missing product security boundaries.
Review AI-generated code for authorization, validation, data flow, secrets, integrations, and runtime security behavior.
Page intent
resourceA playbook for reviewing AI-generated code where the main risk is not style, but missing product security boundaries.
This resource is structured as an operating guide: use it to scope the work, make decisions explicit, and turn the result into something engineering, leadership, or buyers can review.
A playbook for reviewing AI-generated code where the main risk is not style, but missing product security boundaries.
Identify generated files that touch identity, data access, payments, uploads, or integrations.
Trace data flow from user input to database, storage, external APIs, and logs.
AI diff security checklist
Label AI-generated or heavily AI-assisted changes in the review scope.
Map security-sensitive paths before reading every line.
Run focused runtime tests on boundary behavior.
Require fixes and retests before merge or launch.
AI diff security checklist
data-flow review notes
negative-test evidence
PR security sign-off
Generated code skipping authorization because tests only cover happy paths.
Input validation copied inconsistently across routes.
Secrets or privileged SDK calls appearing in client bundles.
Reviewers approving large AI diffs without understanding data flow.
Generated code skipping authorization because tests only cover happy paths.
Input validation copied inconsistently across routes.
AI diff security checklist
Secrets or privileged SDK calls appearing in client bundles.
Generated code can be broad and plausible, so review should focus on boundaries, data flow, and runtime behavior.
Prioritize auth, authorization, database access, storage, payments, webhooks, admin actions, and generated APIs.
Only if tests include negative authorization, tenant, validation, and abuse cases.
SafeVibe links AI-assisted changes to targeted checks, findings, owners, and retest records.
Use AI code review security playbook as the starting point, then turn the checklist into SafeVibe scan scope and remediation evidence.