Security Checklist for AI-Generated Apps: Auth, RBAC, Payments
AI can scaffold software fast, but enterprises still own the blast radius. Use this opinionated checklist to harden apps created with an AI SaaS builder, a REST API generator AI, or subscription billing integration AI. Each item is battle-tested for regulated teams.
Authentication
- Enforce OIDC/OAuth2 with PKCE; disable implicit flow.
- Require phishing-resistant MFA (WebAuthn) for admins; step-up MFA on money and data exports.
- Rotate and scope secrets; never let the AI commit .env to repos.
- Set session TTLs by risk; use short tokens and refresh rotation.
Authorization & tenancy
- Start with deny-by-default; model roles, not endpoints.
- Use ABAC for environment, region, and tenant; block cross-tenant by design.
- Implement row-level security; every query filters by tenant_id.
- Gate webhooks and background jobs with service roles, not user tokens.
Payments & subscriptions
- Treat billing as a protected surface. In subscription billing integration AI flows, verify provider webhooks (signature + timestamp + replay window).
- Use idempotency keys for checkout, upgrades, and proration; never trust client totals.
- Map products to entitlements consumed by RBAC; disable features server-side when invoices fail.
- Keep PCI data out of your systems; tokenize and log last4 only.
Generated API safety
- When using a REST API generator AI, constrain resource schemas and allowed filters; reject wildcards.
- Add rate limits per user, per token, and per tenant; isolate noisy neighbors.
- Auto-generate contract tests from OpenAPI; fail CI on over-permissive changes.
- For data writes, require conditional requests (ETags) to stop lost updates.
Data governance
- Classify data; encrypt PII in transit and at rest; rotate KMS keys.
- Redact secrets from logs; sample traces but hash IDs; retain audit logs for 400+ days.
- Provide tenant-scoped exports with watermarking to deter exfiltration.
Monitoring and response
- Stream security events to SIEM; alert on auth anomalies, billing drift, and RBAC denials.
- Maintain runbooks for key revocation, webhook compromise, and mistaken role grants.
- Conduct quarterly game-days simulating admin token theft and invoice fraud.
Rollout playbook
- Pre-prod threat model of auth, RBAC, and payments; document trust boundaries.
- Staging with synthetic tenants, fake cards, and webhook replays.
- Launch with feature flags; progressive exposure per tenant cohort.
Pre-launch tests
- Try privilege escalation across tenants.
- Fuzz billing webhooks and idempotency collisions.
- Kill tokens mid-checkout; ensure recoverability without data loss.
Enterprise validation
Before onboarding customers, run a red team on the AI outputs themselves: prompt-inject the AI SaaS builder, mutate the REST API generator AI spec, and spoof subscription billing integration AI payloads. Verify guardrails survive malformed Unicode, payloads, and clock skew. Measure mean time to revoke a compromised admin, tighten rate limits after abuse, and prove tenant isolation with chaos experiments. Security isn't a feature sprint; it's a contract you renew with every deploy continuously.
