Security Checklist for AI-Generated Apps: Auth, RBAC, Payments
AI can accelerate delivery, but security debt compounds faster. Use this checklist when shipping with an AI app builder, survey app builder AI, or subscription billing integration AI so enterprise data, identities, and revenue stay protected.
Authentication and session hygiene
- Enforce SSO with MFA; prefer device-bound passkeys for workforce and customers.
- Short TTL access tokens; rotate refresh tokens; store in httpOnly, sameSite=strict cookies.
- Pin OAuth scopes to minimal claims; forbid wildcard audiences for backend APIs.
- Validate JWTs with key rotation via JWKS; cache keys; verify alg and kid strictly.
- Block session fixation; regenerate identifiers on privilege change and login.
Authorization and RBAC
- Model roles as policies, not booleans; codify in code and tests, not only config.
- Use ABAC for data rows: tenant_id, owner_id, and sensitivity tags on every record.
- Enforce least privilege on tool calls your models can trigger; gate by role and context.
- Create deny-by-default API gateways; require resource ownership checks server-side.
- Log authorization decisions with request IDs to enable rapid forensics.
Payments and subscription controls
- Use a PCI-DSS compliant gateway; never store PAN; tokenize everything end-to-end.
- Implement idempotency keys and replay protection on checkout and webhook handlers.
- Verify webhook signatures and event ordering; quarantine unknown event types.
- Map plans to entitlements and rate limits; revoke access immediately on churn.
- For subscription billing integration AI, test fraud scenarios and trial abuse with synthetic data.
AI-specific risks
- Filter prompts and outputs for secrets, PII, and exfiltration patterns; redact before storage.
- Harden system prompts; use content firewalls to stop injection and tool misuse.
- Constrain tool schemas; require explicit intent and role checks before execution.
- For a survey app builder AI, sign survey links, throttle responses, and detect bot farms.
- Record model, dataset, and tool versions per decision for audit and rollback.
Operations and monitoring
- Centralize structured logs; emit authZ outcomes, payment events, and model tool traces.
- Set SLOs for security controls; alert on missing logs, 5xx spikes, and denied actions.
- Run chaos drills: expired certs, rotated keys, disabled webhooks, and model outages.
- Manage secrets with cloud KMS and automatic rotation; ban long-lived credentials.
- Provide a kill switch to disable risky tools or features across tenants instantly.
Treat this checklist as code: automate it in CI, gate releases on policy tests, and document exceptions with owners and expiry dates.
Build-time safeguards
- Shift-left with threat modeling for AI features; annotate user stories with data classification.
- Add static checks for dangerous regexes, insecure URL fetch, and unsandboxed eval in tool code.
- Require reproducible builds, dependency pinning, and SBOMs; scan models and packages for known CVEs.
- Gate merges on policy-as-code: tests for RBAC rules, payment flows, and model tool contracts.
- Document runbooks and automate rollback steps clearly.
