AI App Compliance Audits
AI app compliance audits from Afterbuild Labs close the HIPAA, SOC 2, GDPR, and PCI DSS gaps that Lovable, Bolt, Cursor, and v0 ship by default. Pick the framework your next customer or regulator is asking about, and we audit, fix, and document the technical controls. From $499, fixed price, 5–10 days.
By Hyder ShahFounder · Afterbuild LabsLast updated 2026-04-18
Pick your framework
Four silos, one playbook per framework. Each page covers the specific failure modes AI coding tools produce, the technical fixes, a comparison matrix, and eight FAQs answering the questions founders actually ask before booking.
HIPAA for AI-built apps
Healthtech apps built with Lovable, Bolt, or v0 fail basic HIPAA reviews by default: PHI in localStorage, no audit log on patient records, Supabase RLS disabled. We deliver a HIPAA-aware audit and fix in 5–10 days from $499.
SOC 2 for AI-built apps
Enterprise deals stall when your Cursor or Bolt app has no audit log, no role-based access, and no evidence pack. We deliver SOC 2 Type 1 readiness in 3–6 weeks from $999, including Vanta or Drata wiring.
GDPR for AI-built apps
EU users expose four GDPR violations every AI-built app ships: tracking without consent, no DSAR flow, no right-to-erasure, and analytics that leak PII to US vendors. Audit and fix in 5–10 days from $499.
PCI DSS for AI-built apps
Fintech and ecommerce AI apps bust PCI scope by logging card data to Sentry, embedding test keys in client bundles, or routing raw card numbers through their own servers. Audit and fix in 5–10 days from $499.
Why AI-built apps fail compliance reviews
AI coding tools are trained on public GitHub repositories, Stack Overflow answers, and tutorial code. Very little of that training data is compliance-aware. When Lovable scaffolds a Supabase schema, it writes tables that work; it does not write tables with RLS policies tied to the authenticated user, nor does it write an audit_log table with middleware on every write. When Bolt.new generates a Stripe checkout flow, it wires a working payment; it does not verify webhook signatures or add an idempotent processed-events table. The result is a demo that looks production-ready but fails the first compliance review a real customer asks for.
The second reason is hosting. Most AI builders default to the free or hobby tier of Supabase, Vercel, and similar vendors. Those tiers do not sign Business Associate Agreements for HIPAA, do not sign Data Processing Agreements that satisfy Schrems II for GDPR, and do not give you the log retention SOC 2 auditors expect. A compliant posture requires upgrading to the paid plans that sign the legal documents, which AI builders never prompt you to do. Every healthtech rescue we run starts with the realization that the app has been handling PHI on a stack that cannot legally handle PHI.
The third reason is observability. AI-generated code instruments with Sentry, PostHog, and Google Analytics using the copy-paste snippets from vendor docs. Those snippets autocapture every form field, every URL parameter, and every error payload. In a healthtech app that means PHI lands in Sentry. In a fintech app it means card PANs land in error breadcrumbs. In a GDPR context it means EU user data gets shipped to US analytics vendors without a DPA. Every compliance rescue installs a redaction layer and moves PII-handling code paths to server actions before the analytics script ever sees them.
Compliance questions, answered
Which compliance framework do I actually need first?
It depends on the customer in front of you. A healthtech app serving patients or providers needs HIPAA before any real PHI moves through it. A B2B SaaS app selling into a regulated enterprise buyer almost always needs SOC 2 Type 1 first, then Type 2. An app with EU users needs GDPR from the moment that first EU signup lands. A fintech or ecommerce app taking cards needs PCI DSS SAQ-A scope from day one. If you are in two categories, do the framework the customer is actually asking about, not the one that feels most thorough.
Can an AI-built app ever be fully compliant?
Yes, but not with the output the AI generator ships on day one. AI coding tools optimize for a working demo, not for audit posture. The fixes are specific and well understood: enable RLS on every sensitive table, install an append-only audit log with middleware on every authenticated request, configure hosting under a BAA or DPA where the framework demands it, scrub PII from observability, and document the control environment. Every rescue we ship is an AI-built app that now passes the review it was failing.
How much does a compliance audit cost?
Our HIPAA, GDPR, and PCI audits are fixed $499 for a 5–10 day engagement with a PDF deliverable, a Loom walkthrough, and a remediation quote. SOC 2 readiness is a larger scope: $999 for the readiness assessment, then $4,999–$9,999 for the evidence pack and auditor-ready posture, depending on codebase size. No hourly billing, no framework tax.
Do you replace a compliance officer or a QSA?
No. We are engineers, not auditors. We build the technical control environment the auditor inspects: audit logs, access control, encryption, DSAR flows, evidence collection, Vanta or Drata wiring. You still need a compliance consultant or a QSA to sign the attestation. The difference is that when they arrive, the code is already ready for them.
What does a compliance rescue deliverable look like?
A written audit PDF with every finding ranked by severity, a Loom walkthrough for each Critical, a remediation diff in a branch ready to merge, a runbook that documents the control environment, and a fixed-price quote to close any findings we did not already close in the audit week. For SOC 2, it also includes the Vanta or Drata configuration and the policy templates your auditor will ask to see.
Book a compliance diagnostic
Send the repo and the framework your customer is asking about. In 48 hours we return a written list of every finding and a fixed-price path to close them. Audit from $499, remediation from $3,999, no hourly billing.