Security Checklist for AI-Generated Apps: Auth, RBAC, Payments
AI can scaffold features in minutes, but risk compounds just as fast. Use this field-tested checklist to apply security hardening for AI-built apps-whether you ship with a social network builder AI or a full-stack app generator.
Authentication: prove identity, bind devices
- Prefer passkeys or WebAuthn; fall back to TOTP, never SMS-only.
- Enforce OAuth2/OIDC with PKCE, exact redirect URIs, and narrow scopes.
- Short-lived tokens; rotate refresh tokens; tie sessions to device fingerprints.
- Rate-limit login, signup, and password reset; add CAPTCHA after velocity spikes.
- Store passwords with argon2id; prevent email/user enumeration via uniform responses.
Authorization & RBAC: isolate tenants, scope resources
- Deny-by-default policies; grant least privilege at role and resource level.
- Model multi-tenant boundaries explicitly; include tenant_id in every query filter.
- Use policy engines (OPA, Cedar) and unit tests for critical rules.
- Add ABAC for feeds, groups, and DMs: creator, membership, and visibility flags.
- Cache authz decisions with ETags; invalidate on role or membership change.
Payments: design for correctness and compliance
- Keep PCI scope minimal: use hosted fields or tokenization; never store PANs.
- Require idempotency keys on charges, refunds, and payouts.
- Verify webhook signatures, timestamps, and replay nonce; allowlist provider IPs.
- Harden money movement with double-entry ledgers and immutable event logs.
- Support SCA: 3DS challenges, step-up MFA for risky transactions.
Data, secrets, and privacy
- Centralize secrets in a vault; rotate automatically; encrypt with KMS per environment.
- Apply field-level encryption for PII; mask in logs and analytics.
- Restrict debug tools in production; scrub prompts and traces of secrets.
- Collect only necessary data; document retention and deletion SLAs.
Build pipeline and AI-specific pitfalls
- Pin dependencies, produce an SBOM, and scan for known vulns at build and deploy.
- Treat prompts as code: version, review, and lint for injection risks.
- Sandbox tools called by LLM agents; disable shell/HTTP by default; egress proxy.
- Require human review for generated migrations, auth gates, and payment handlers.
- Run threat modeling on flows the generator created automatically.
Monitoring, tests, and runbooks
- Emit structured audit logs for auth, RBAC changes, and financial events.
- Write fuzz and property tests for policy and invoice math; add chaos login tests.
- Schedule synthetic checkouts and SSO logins; alert on latency and error spikes.
- Create incident runbooks with rollback steps, key rotation, and customer comms.
Scenario quick-check
Social launch? Gate friend requests by path-scoped RBAC, signed action links, and per-IP limits. Marketplace payouts? Enforce webhook attestation plus idempotent retries. Enterprise SSO? Map groups to roles, enable SCIM deprovisioning, and log admin actions with retention.
Adopt this checklist as a baseline, then tailor controls to your domain. Treat social network builder AI outputs and any full-stack app generator code as untrusted drafts, and automate continuous security hardening for AI-built apps.
