Security Checklist for AI-Generated Apps: Auth, RBAC, Payments
AI scaffolds can spin up a headless CMS, a React app generator, and a Vercel deploy for AI-generated apps in minutes-but security debt compounds just as fast. Use this focused checklist to ship safely without slowing down velocity.
Identity and session hardening
- Use OIDC/OAuth2 with PKCE; prefer short-lived access tokens and rotate refresh tokens.
- Set httpOnly, secure, sameSite=strict cookies; bind sessions to IP/user-agent where risk warrants.
- Validate state/nonce; enforce MFA for admins; store keys in managed secrets, never in code.
RBAC and data boundaries
When headless CMS scaffolding AI generates content models and admin UIs, define roles before content goes live.
- Default-deny permissions; explicit grants per role and tenant.
- Apply row-level security on your database; filter by org_id and subject claims.
- Use service accounts with least privilege for build hooks and webhooks; log every privilege change.
Frontend edges (React generators)
- Do not trust client props: put authorization in server actions/APIs, not components.
- Validate dynamic route params and request bodies (Zod/Valibot); reject on parse failure.
- Add CSRF for state-changing requests; rate-limit by user and IP; clamp pagination.
- Mask errors to avoid leaking secrets; never echo LLM prompts back to users.
Payments and webhooks
- Verify webhook signatures and timestamps; enforce idempotency keys.
- Calculate prices server-side; never trust client totals, coupons, or tax.
- Use tokenized payment methods; store no PAN; target PCI SAQ-A; enable 3DS where required.
- Reconcile events to an internal ledger; gate feature fulfillment on confirmed payment.
Vercel deploy controls
- Protect preview URLs with SSO; never expose staging data publicly.
- Scope environment variables per environment; rotate on contributor changes.
- Prefer Edge Middleware for auth gating and rate-limits; scrub PII from logs.
- Set runtime limits and timeouts for AI calls; queue long jobs off-request.
Model and prompt security
- Constrain tool use with allowlists; sandbox file and HTTP access.
- Strip secrets from prompts; classify and redact PII pre-ingest.
- Validate LLM outputs against schemas before persistence or payment.
Operational guardrails
- CI fails on dependency diffs, secret leaks, and open redirects.
- Generate SBOM; pin versions; monitor for critical CVEs.
- Enable audit trails, anomaly alerts, and break-glass accounts with hardware keys.
Scenario drill
Your AI scaffold creates a React admin for a CMS. Before launch: restrict admin routes to org_admin; enable RLS by org_id; secure webhooks with signatures; verify invoices server-side; lock preview domains behind SSO; push via Vercel with environment-scoped secrets. You'll keep the speed-and ditch the risk.
Final preflight
Run smoke tests with mock users across roles, simulate failed payments and webhook replays, and fuzz prompts for injection. Freeze schema migrations before marketing launches. Document trust boundaries in the repo README so newcomers using generators know where auth lives and what not to touch at all.
