Security Checklist for AI-Generated Apps: Auth, RBAC, Payments
AI accelerates shipping, but security debt compounds even faster. Use this focused checklist to harden apps produced by headless CMS scaffolding AI, a React app generator, or a Vercel deploy for AI-generated apps.
Identity and session
- Use OIDC with PKCE; prefer short-lived access tokens and refresh rotation.
- Enforce MFA for admins; restrict social login to corporate domains.
- Store sessions in HttpOnly, Secure cookies with SameSite=Lax plus CSRF tokens.
- Disable session fixation by rotating session IDs after privilege change.
RBAC and authorization
- Model permissions per resource action (read, write, admin); default deny.
- Keep policy in code (OPA/Cedar) and version rules alongside the React app generator output.
- Evaluate authz server-side; never trust client claims; include request context (tenant, region).
- Log decision inputs/outputs for audit without leaking secrets.
Data, prompts, and secrets
- Keep secrets in managed stores; on Vercel, use encrypted environment variables per project and branch.
- Redact API keys from prompts; classify PII; encrypt at rest; pin TLS and require HSTS.
- Generate an SBOM and run SCA on generated dependencies; lock versions to avoid drift.
APIs and webhooks
- Validate JSON with strict schemas; reject unknown fields to limit injection.
- Verify webhook signatures (HMAC or provider scheme) and guard against replays with nonces.
- Set per-user and per-token rate limits; isolate model endpoints to prevent abuse.
- Mitigate SSRF by blocking private ranges in URL fetchers the AI tools invoke.
Payments and billing
- Outsource card data; target PCI SAQ-A with hosted elements; enable 3DS/SCA where applicable.
- Require idempotency keys on create/charge endpoints; reconcile against webhook events.
- Maintain a double-entry ledger; lock balances before fulfillment; automate dispute workflows.
AI-specific hardening
- Add prompt injection filters; ground model outputs with retrieval constraints and allowlisted tools.
- Validate model outputs against business schemas before writing to the headless CMS.
- Enforce per-tenant vector store namespaces; scrub logs and prompts of customer secrets.
Build and deploy
- Gate merges from codegen: require review checks; scan with SAST; block unsafe eval or dynamic imports.
- Harden Vercel deploy for AI-generated apps: protect previews, separate prod projects, and enforce OIDC to cloud secrets.
- Set security headers (CSP, COOP/COEP, FLOC off, Permissions-Policy) in edge middleware.
Concrete examples
Example: If the React app generator scaffolds /api/checkout, demand an Idempotency-Key header, verify provider signatures, and store charge state atomically. Example: When headless CMS scaffolding AI emits editorial webhooks, validate the event schema, require HMAC, and allowlist IPs. Example: Before enabling chat, tie tool calls to RBAC ("analyst" can read invoices; only "finance-admin" can refund).
Finally, wire dashboards: forward Vercel logs to your SIEM, alert on 401 spikes, payment declines, and RBAC denials. Add chaos tests for revoked secrets and webhook replays. Ship postmortems with fixes back into the scaffolding templates library.
