
AI App Pre-Launch Security Checklist
Run an evidence-based pre-launch review across authorization, secrets, inputs, dependencies, deployment, agents, monitoring, recovery, and retests.
Browser attack surface
Headers, CORS, injection, and the rest of the browser-facing attack surface of a modern web app.
40published articles

Run an evidence-based pre-launch review across authorization, secrets, inputs, dependencies, deployment, agents, monitoring, recovery, and retests.

Map personal data, purposes, retention, processors, user rights, deletion, and incident handling before an AI-built app reaches real users.

Secure Stripe billing with server-owned entitlements, raw-body webhook verification, idempotent processing, constrained keys, and failure-path tests.

Identify the Bolt backend, protect server functions and webhooks, test database policy, and verify the published deployment.

Make authentication responses uniform, throttle online guessing by account and network signals, and test recovery flows safely.

Treat Worker bindings as capabilities, keep secrets encrypted, constrain outbound fetch and caching, and verify routes with production-shaped Wrangler config.

Remove unsafe shell boundaries from agent tools, constrain process arguments, and isolate the external commands that remain necessary.

Replace wildcard or reflected origins with a minimal browser-sharing policy, correct credential handling, and cache-safe headers.

Protect cookie-authenticated state changes with framework controls or verified tokens, plus SameSite and Fetch Metadata layers.

Stop production errors from exposing stack traces, paths, queries, and framework internals while preserving useful, access-controlled diagnostics.

Separate Pydantic request validation from object authorization, then configure CORS, hosts, proxy trust, TLS, errors, and API documentation.

Design Firebase security as separate identity, authorization, app-attestation, and abuse-resistance layers, then test Firestore and Storage rules locally.

Make retries and duplicate webhooks safe with durable operation keys, canonical request binding, atomic state changes, and stored results.

Define strict server-side request schemas, reject unknown and oversized data, and enforce business invariants before processing.

Review a Lovable app across its public frontend, Edge Functions, database RLS, authentication, scans, and publish settings.

Stop request bodies from changing roles, owners, prices, and workflow state with operation-specific schemas and explicit data writes.

Treat every callable Next.js server entry as an API, centralize authorization in a server-only data layer, and minimize data sent to the browser.

Build an ordered Express request contract, authorize resources at every route, and verify proxy, session, limit, error, and dependency settings.

Secure OAuth redirects with exact registration, transaction-bound callback state, PKCE, issuer checks, and a strict code exchange.

Keep file reads, exports, and archive extraction inside a trusted directory with canonical containment checks and safer identifiers.

Find generated code that reports success without completing the promised work, then verify durable state, failure behavior, and a fresh retest.

Design endpoint-specific rate, concurrency, payload, queue, and cost limits for AI APIs without trusting a single weak identifier.

Use React's rendering protections correctly while keeping authorization, secrets, sensitive data, and side effects behind verified server boundaries.

Separate Replit Preview from production, choose the right deployment, protect secrets and APIs, and inspect live response headers.

Compare the evidence, timing, targets, and blind spots of SAST, DAST, and SCA, then combine them into a practical release workflow.

Build a staged upload pipeline with early size limits, server-generated names, content checks, quarantine, and private delivery.

Protect public AI APIs with object authorization, bounded work, cost controls, constrained tools, safe output handling, and tested failure paths.

Configure host-scoped session cookies, choose SameSite deliberately, rotate identifiers, and test server-side expiry and revocation.

Build browser security headers from application behavior, stage CSP safely, and verify policies by route instead of chasing a score.

Turn scoped security evidence into an accountable go, conditional, no-go, or not-evaluated decision with owners and rollback readiness.

Define security events, route actionable alerts to an owner, and test the complete monitoring path before an AI-built app launches.

Prevent PII, tokens, prompts, and request data from entering logs through source minimization, field allowlists, tested redaction, and retention controls.

Replace interpolated SQL values with bound parameters, map dynamic identifiers from allowlists, and test query builders safely.

Bind URL validation to DNS resolution and the connection, recheck redirects, block private destinations, and restrict egress.

Verify Stripe against the exact raw request body and the correct endpoint secret before parsing events or changing application state.

Secure the Supabase access chain from API grants and row-level security through user JWTs, server-only privileged keys, views, and functions.

Remove cleartext exceptions from mobile releases, test the real networking stack, and verify certificates, redirects, and backend TLS.

Trace a v0 app from generated code through Next.js server boundaries, Vercel previews, environment variables, and the deployed site.

Treat every Vercel preview as a live environment, then control deployment access, variables, data, bypass secrets, callbacks, and retirement.

Trace untrusted Markdown and model output through parsing, sanitization, DOM insertion, CSP, and safe local verification.