Buyer's Guide

HIPAA-Compliant AI Platforms: The Independent 2026 Comparison

Five different product categories all claim this label. They solve different problems. Here is what each one actually does, compared on the criteria that matter to a health system.

How to Read This Market

"HIPAA-compliant AI" is not one market. A solo therapist picking a note-taker, a CIO consolidating tools for 5,000 employees, and a compliance officer proving control to an auditor are shopping for different products that all use the same label. The first job is knowing which category you are actually buying.

One disclosure before the table: our own platform appears in this comparison, in category five, marked plainly as ours. Every other entry is a product we do not sell, reviewed on the same criteria we apply to ourselves.

The Five Categories

Healthcare point chat tools

Category 1
  • BastionGPT (healthcare-grade ChatGPT alternative, BAA included on every plan), Hathr.AI (hosted in AWS GovCloud, runs Anthropic's Claude, BAA on all plans), CompliantChatGPT (clinician documentation: SOAP notes and EHR-ready workflows).
  • Strong for individual clinicians and small practices.
  • They give one user a safe chat window.
  • They do not give an organization visibility, policy enforcement, or an audit trail across the workforce.

Hyperscaler infrastructure

Category 2
  • Azure OpenAI and Microsoft Azure AI, Google Vertex AI, AWS Bedrock.
  • HIPAA-eligible building blocks with BAAs, mature certifications, and total flexibility.
  • You are not buying a product; you are buying parts.
  • Someone still has to build the application, the controls, and the governance around them.
  • One trap to know, verified against Google's live covered-products list in July 2026, is that cloud BAAs cover named products, and product names change.
  • Match your exact workload to the current list at contract time.

Single-vendor enterprise AI tiers

Category 3
  • ChatGPT Enterprise and ChatGPT for Healthcare, Microsoft 365 Copilot, and equivalent enterprise tiers from other model vendors.
  • BAAs available, no training on your data, real admin consoles.
  • The trade is one vendor's models, one vendor's roadmap, and governance features designed for that vendor's tool rather than your whole AI surface.

AI governance and oversight platforms

Category 4
  • Singulr (AI governance control plane), ModelOp (enterprise AI lifecycle governance), and the Credo AI and Holistic AI class.
  • These govern AI: inventory, policy, risk, model lifecycle.
  • They do not give staff a place to work with AI.
  • Buy this category when the problem is oversight of many AI systems, not safe access to generative AI.

Governed multi-model AI platforms

Category 5 (ours)
  • The category built for the actual healthcare problem: give the workforce sanctioned access to leading models (OpenAI, Anthropic, Google) behind one gate, with PHI protection, BAA coverage, role-based access, and a complete audit log built in.
  • One platform to govern instead of a dozen tools to chase.
  • This is our category.
  • The AuthenTech AI governed platform is what we deploy and operate for health systems, wrapped in the 6-week engagement that delivers the policy, training, and audit-ready operations around it.
  • One working example of what the architecture changes: a health system we work with generates meeting transcripts in Teams, inside the Microsoft tenant and BAA they already hold, and runs summaries through the platform, which screens sensitive data before anything reaches a model provider and logs the interaction.
  • No new vendor joined their meetings.
Master comparison (the AuthenTech AI row is ours, held to the same claims standard as the rest)
BAAPHI controlsMulti-modelOrg-wide audit trailWho it fits
BastionGPTEvery planClinical framing, private infraNo (GPT-based)Per-user, limited org viewClinicians, small practices
Hathr.AIAll plansGovCloud hostingNo (Claude-based)Per-user, limited org viewDocument-heavy teams, small orgs
CompliantChatGPTYesDocumentation-focusedNoLimitedIndividual clinical documentation
Azure OpenAI / Vertex / BedrockYesYou build themWithin one cloud's catalogYou build itOrgs with engineering teams
ChatGPT Enterprise / for HealthcareYesEnterprise-grade, single vendorNoVendor console scopeOrgs standardizing on one vendor
Microsoft 365 CopilotNamed in Microsoft's HIPAA in-scope listM365 boundaryNoPurview scopeM365-centric orgs; web queries excluded from BAA
Singulr / ModelOpn/a (oversight layer)Policy/risk oversightGoverns manyGovernance records, not chat logsEnterprises overseeing an AI portfolio
AuthenTech AI governed platform (ours)YesPHI screening before model providers, built inYes (OpenAI, Anthropic, Google)Complete, org-wideHealth systems governing the whole workforce

How to Choose

Five questions that sort the categories faster than any demo

1

Start from who needs AI

Five clinicians: a point tool is fine. Five thousand employees: you need governance, not licenses.

2

Count your models

If staff already use ChatGPT, Claude, and Gemini, a single-vendor answer governs a third of your problem.

3

Ask the audit question first

"Show me every AI interaction that touched PHI last quarter." If a vendor cannot produce that, they are not your compliance answer.

4

Get BAA scope on paper

Which product, which tier, which data flows. Assume nothing is covered until the paper says it is.

5

Plan for the tools you did not buy

Whatever you deploy, staff will try others. Your platform choice needs a shadow AI answer, not just a sanctioned tool.

HIPAA-Compliant AI Platforms: Common Questions

What makes an AI platform HIPAA compliant?

A signed BAA, PHI safeguards (encryption, access control, audit logging), no training on your data, and an organization that uses it under a real compliance program. The platform enables compliance; your controls complete it.

Is there a free HIPAA-compliant AI?

Treat "free" and "BAA" as a contradiction until proven otherwise. A vendor with no revenue from you has little reason to sign one.

Can we just use ChatGPT Enterprise?

It is a legitimate option for single-vendor organizations, and OpenAI's healthcare offering adds BAA support, audit logs, and customer-managed encryption keys. The gaps are multi-model coverage and org-wide governance beyond OpenAI's scope. If your staff also use Claude and Gemini, one vendor's enterprise tier governs one corner of your AI surface.

Do governance platforms like Singulr or ModelOp replace a governed access platform?

No. They oversee AI systems; they do not provide staff a governed place to use generative AI. Large enterprises often need both layers.

Skip Six Months of Vendor Evaluation

We run this comparison for health systems as part of every engagement, against your requirements instead of a generic checklist. Bring your shortlist and we will tell you what each option will and will not survive in an audit.