Security Checklist for AI-Generated Applications: Auth, RBAC, Payments
Whether you ship a project management app builder AI or a restaurant ordering app builder AI, security must be first-class. Use this checklist to harden AI-generated outputs before launch and during every release.
Identity and Authentication
- Enforce SSO with SAML/OIDC; require MFA; support passwordless.
- Use OAuth with PKCE for public clients; short-lived access tokens; refresh rotation; device binding.
- Harden session management: HttpOnly, Secure, SameSite=strict; CSRF tokens; inactivity timeouts.
- Bot defense: rate limits, CAPTCHA, and device fingerprinting; anomaly detection on auth flows.
- Secrets: store in a KMS, enable rotation, and scrub prompts and logs.
RBAC and Data Isolation
- Enforce tenant boundaries with row-level security; per-tenant encryption keys.
- Define roles with least privilege; admin actions require break-glass with approvals.
- Policy as code (OPA or Cedar) enforced server-side; never trust client role claims.
- Export controls: redact cross-tenant embeddings; isolate vector stores per tenant.
Payments and PII
- Use tokenized gateways like Stripe or Adyen; never handle card numbers; target PCI SAQ-A.
- Enable 3DS/SCA and idempotency keys on charge endpoints to block replay and double billing.
- Verify signed webhooks, store timestamps and nonces, and process via queues with retries.
- Minimize PII, document retention, automate right-to-erasure, and keep structured, secret-free logs.
Runtime and Deployment (Vercel)
- For Vercel deploy for AI-generated apps, pin runtime versions, lock dependency hashes, and publish an SBOM.
- Use Vercel Environments for secrets; restrict preview tokens; grant least-privilege org roles.
- Leverage Edge Functions to filter requests, and choose regions to meet residency requirements.
- Gate builds in CI: fail on missing security headers (CSP, HSTS), weak deps, or failing DAST.
LLM-Specific Risks
- Mitigate prompt injection: strict tool allowlists, URL sanitization, and sandboxed tool calls.
- Validate outputs with JSON schemas and strong types; reject unsafe or out-of-policy actions.
- Moderate both user input and model output; escalate edge cases to humans-in-the-loop.
- Track training data provenance, deduplicate secrets, and require explicit content consent.
Operational Guardrails and Auditing
- Audit every admin, data export, and payment event; route WORM logs to an external SIEM.
- Disaster recovery: test backups, simulate region failures, rotate keys, and seal break-glass accounts.
- Incident response: a severity matrix, 24/7 on-call, customer comms templates, and forensics readiness.
- Compliance mapping: OWASP ASVS, CIS Benchmarks, SOC 2, and ISO 27001; attach evidence in audits.
Practical example: in a project management app builder AI, generate org, project, and task roles by template, then require server-side policy checks on every API call, including AI-created endpoints. In a restaurant ordering app builder AI, isolate menu management from payments, tokenize cards at the edge, and throttle checkout mutations. Ship a security scorecard with each template so enterprise buyers can verify controls before integrating. Document threat models and publish changelogs alongside automated dependency diffs weekly.
