Security Checklist for AI Generated Apps: Auth, RBAC, Payments
AI can ship features fast, but security debt ships faster. Whether you are testing a booking app builder AI, migrating from a no code Adalo alternative, or scaling a workflow automation app builder, use this pragmatic checklist to block breach paths before launch day.
Identity and session hardening
- Use OAuth2 and OIDC with PKCE; enforce MFA with TOTP or WebAuthn by default.
- Issue short lived JWTs, rotate refresh tokens, and validate issuer, audience, and nonce.
- Set SameSite=strict, secure cookies; prevent session fixation and reuse on password change.
Roles, policies, and tenancy
- Model a resource and action matrix; default deny; least privilege by role and environment.
- Adopt policy as code with OPA or Cedar; version, test, and peer review changes.
- Enforce row level security; every query scoped by tenant_id; separate keys per tenant.
AI code guardrails
- Threat model prompts and tools; resist prompt injection; constrain tool schemas and outputs.
- Run static analysis and supply chain scans; pin dependencies; ban unsafe eval and deserialization.
- Require human approval for schema migrations, payment handlers, and policy edits.
Payments and PII
- Never store PAN; rely on tokenization and a vault provider; target PCI SAQ A scope.
- Verify webhook signatures; use idempotency keys; reject replays and timestamp drift.
- Separate authorization and capture; enable 3DS; log disputes with evidentiary context.
Auditing and observability
- Create an immutable audit log capturing actor, subject, policy, and request ID.
- Correlate auth events with payment attempts and workflow runs; retain for 13 months.
- Alert on role drift, impossible travel, excessive refunds, and suspicious token refresh.
Secrets and configuration
- Use a KMS and secret manager; never place secrets in prompts, CI variables, or client code.
- Rotate keys on schedule and role change; allow bring your own key for enterprise buyers.
- Constrain egress and service accounts; approve outbound domains explicitly.
Workflows and booking edge cases
- For booking flows, prevent double booking with atomic checks and row level locks.
- For automation, sign outbound calls and validate inbound webhook origins and schemas.
- Rate limit by tenant and role; add circuit breakers around external LLM or payment calls.
Deployment gates
- Run red team scripts for auth bypass, RBAC escalation, and refund abuse before shipping.
- Ship behind feature flags, canary by tenant, and rehearse rollback with data reversibility.
- Complete DPA, DPIA, SOC 2 mapping, and vendor risk reviews for any Adalo alternative.
Bottom line: treat your AI platform like production code. Gate generators with tests, restrict tools, and measure outcomes. If you are replacing legacy scripts with a workflow automation app builder or prototyping a booking app builder AI, bake this checklist into templates so every new service, job, and integration inherits sane, audited defaults. Across teams and time.
