Security Checklist for AI-Generated Apps: Auth, RBAC, Payments

Ship fast without shipping risk. Use this pragmatic checklist to harden AI-generated applications across authentication, authorization, and payment flows-whether you prototype with a webhook builder AI, assemble a marketplace app builder AI, or run a full CI/CD setup for AI-generated projects.

Identity and Authentication

Enforce OAuth2/OIDC with PKCE; rotate client secrets every 90 days; prefer device-bound tokens and short JWT expiries (≤15 minutes) with refresh rotation.
Implement phishing-resistant MFA (WebAuthn) for admins; lock accounts on velocity anomalies and require step-up auth for payout changes.
Partition tenants with org-scoped issuers and include tenant_id, session_id, and auth_time claims for auditability.

RBAC and Least Privilege

Model roles as policy-as-code (e.g., Cedar, OPA); keep permissions resource-scoped, deny-by-default, and versioned.
Add ABAC for sensitive actions: require attributes such as data_classification=restricted and risk_score<=30.
Create a break-glass role gated by approval workflow, time-boxing, and immutable logging.

Webhook and Event Security

Sign webhooks with HMAC-SHA256 and replay windows ≤5 minutes; verify timestamps and compute digest over canonical JSON.
Prefer outbound mTLS for partner channels; allowlist IPs; apply idempotency keys to all side-effecting handlers.
If using a webhook builder AI, require secret injection via vault and auto-rotate per partner and environment.

Payments and Payouts

Tokenize PANs; never store raw card data; isolate PCI scope to a dedicated microservice or PSP redirect.
Validate amounts client- and server-side; lock currency; enforce ledger double-entry and reconciliation jobs.
Use risk flags (velocity, geolocation mismatch); trigger manual review for high-value marketplace disbursements.

Data and Model Safety

Redact PII before prompts; enforce output filters; sandbox tool use; restrict network egress to approved hosts.
Mitigate prompt injection by scoping tools, templating system messages, and validating all model outputs against schemas.

Secrets, CI/CD, and Environments

Store secrets in a cloud KMS-backed vault; never in code or images; rotate on every environment clone.
In your CI/CD setup for AI-generated projects, run SAST, secret scanning, IaC drift checks, SBOM, and policy gates before deploy.
Use ephemeral preview environments with masked datasets and signed container provenance (SLSA level ≥2).

Observability and Response

Log auth, policy decisions, and payment events with correlation IDs; retain for 400 days with tamper-evident storage.
Set SLAs for webhook retries and alert on dead-letter growth; practice game-day scenarios for marketplace fraud and model misuse.

Security is a feature. Bake it into your builders and pipelines so creativity scales safely.

Vendor and Marketplace Governance

For a marketplace app builder AI, require app review gates: static analysis, permission scope justification, and human verification of billing flows.
Segregate partner apps in namespaces; cap rate limits per tenant; require DPAs, SOC 2, and breach clauses before distribution.
Publish a security.txt, rotate keys on schedule, and run quarterly tabletop exercises with executive sponsors.