Security checklist for AI-generated apps: auth, RBAC, payments
Shipping fast with rapid application development with AI is exciting, but speed without guardrails is risk. Whether you use an online AI app builder or evaluate a Builder.io alternative to assemble production UX, bake in this opinionated checklist before launch.
Identity and authentication
- Adopt OAuth2.1/OIDC with PKCE for all public clients; block the password grant entirely.
- Require MFA for privileged roles; support WebAuthn; enforce per-device session lifetimes.
- Rotate refresh tokens and bind them to client, IP hints, and risk; revoke on anomaly.
- Sign JWTs with asymmetric keys, set aud/exp correctly, and pin alg; publish a JWKs endpoint.
- Implement login throttling, breached-password checks, and automatic user lockout review.
RBAC and data boundaries
- Model business capabilities, not pages; map roles to least-privilege grants and scopes.
- Add ABAC for context (region, subscription, device posture) and enforce in a policy layer.
- Use row- and column-level security; separate tenant data by schema or database when high risk.
- Place authorization in the backend, not the UI; verify with unit tests that deny beats allow.
- Codify policies as code (e.g., OPA/Rego); require change reviews and regression suites.
Payments and PCI
- Never touch raw card data; use hosted fields or tokens from your PSP to avoid PCI scope creep.
- Verify webhook signatures and timestamps; treat every webhook as untrusted input.
- Use idempotency keys for charges, refunds, and webhooks to defeat replay and flakes.
- Enforce SCA flows (3DS2) with clear fallbacks; log risk scores and decision reasons.
- Reconcile daily to a double-entry ledger; block refunds across tenants and currencies.
AI-specific risks
- Harden prompts against injection; never interpolate user data into system prompts unescaped.
- Use allowlists for tool/function calls; cap output tokens for payment or role decisions.
- Redact PII before model calls; store secrets outside prompts; encrypt traces at rest.
- Apply rate limits per user and per tenant; capture audit logs with input, output, and policy.
Build and deploy guardrails
- Run SAST/DAST, dependency scanning, SBOM, and signed builds; verify artifacts at deploy.
- Manage secrets with short-lived cloud identities; disallow long-lived keys in code or prompts.
- Use feature flags, a payments kill-switch, and progressive delivery with canaries.
Verification playbook
Example: a finance dashboard built with an online AI app builder as a Builder.io alternative. Gate admin routes behind WebAuthn, enforce tenant-scoped queries, offload cards to the PSP, require 3DS, and test webhooks with replay attempts.
- Create a threat model and abuse stories; turn each into a failing test first.
- Automate RBAC matrix tests; randomly sample endpoints for deny-by-default.
- Chaos test payments by duplicating webhook deliveries and timing out PSP calls.
- Track KPIs: auth failure rate, time to revoke, chargeback ratio, policy coverage.
- Drill incident response; practice token revocation and compromised admin recovery playbooks.
