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For most organizations, shortlist ChatGPT Enterprise or another eligible OpenAI business product, Microsoft Copilot, Gemini Enterprise, and Amazon Bedrock. The best choice is usually determined less by the model name than by your existing identity system, cloud network, region, retention policy, and legal agreement. Before sending production data, obtain written confirmation for the exact plan and feature: training exclusion, retention and deletion, storage region, DPA or BAA scope, logging, subprocessors, and permitted data classes.
Claude itself is not a single compliance posture. Anthropic says retained API data is not used for model training without express permission, while Claude deployments through AWS Bedrock or Google-hosted services follow the cloud provider’s retention and compliance documentation. The deployment route and contract therefore matter as much as the model brand.
Shortlist at a glance
| Alternative | Best fit | Relevant controls | Important qualification |
|---|---|---|---|
| ChatGPT Enterprise and eligible OpenAI business products | Organizations wanting a broad assistant, custom workflows, and an API ecosystem | Default training exclusion for listed business products, GDPR and CCPA support, SOC 2 Type 2 and ISO/IEC 27001-family certifications, regional storage choices for eligible customers, and BAA availability for eligible products | Coverage depends on the exact workspace, product, region, retention mode, and BAA terms |
| Microsoft Copilot | Microsoft 365 tenants using Entra identity, sensitivity labels, Purview retention, and Microsoft audit tools | Permission-aware responses, inherited sensitivity labels, retention policies, interaction audit, administrative controls, and GDPR/EU Data Boundary commitments | Microsoft states that HIPAA support applies to properly configured implementations; web-search queries are outside the DPA and BAA |
| Gemini Enterprise | Google Workspace and Google Cloud environments | Standard and Plus editions and Gemini Notebook Enterprise have listed certifications and controls including HIPAA, SOC 2, and data-residency options, subject to footnotes | Verify edition, region, residency mode, logging, and connected-source scope |
| Amazon Bedrock | AWS teams requiring private networking, IAM, model choice, or government-oriented controls | Encryption in transit and at rest, AWS KMS, PrivateLink VPC connectivity, multiple foundation-model choices, and alignment with GDPR, HIPAA, SOC, and FedRAMP High requirements | Validate the exact AWS service, region, selected model, agents, logs, and data path under shared responsibility |
These products are not interchangeable compliance certificates. A plan can exclude customer prompts from training while still retaining logs, storing data in an unsuitable region, exposing a connector to over-permissioned files, or lacking a BAA for a particular feature.
What to verify before using regulated data
Classify the data and the workflow first. “Sensitive” may mean trade secrets, source code, customer records, financial information, employee data, or health information. Each class can trigger different contractual, technical, and geographical requirements.
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Training and retention
Ask whether prompts, uploaded files, outputs, feedback, telemetry, and support transcripts are excluded from model training by default and by contract. Then ask how long each category is retained, whether administrators can set a shorter period, and how deletion propagates to backups and disaster-recovery systems. A no-training promise does not prove deletion.
Legal coverage
For personal data, require a data-processing agreement that names the relevant controller, processor, subprocessors, transfer mechanism, and incident obligations. For protected health information, require a Business Associate Agreement covering the precise product and feature. “HIPAA eligible” or “supports HIPAA” is not a substitute for signing the BAA and configuring the service correctly.
Residency and international transfers
Get a region-by-region answer for prompts, files, embeddings, indexes, audit logs, support data, and backups. Confirm whether administrators can select a storage region and whether inference may occur elsewhere. A regional-storage option may not cover every connected service or diagnostic record.
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Identity, permissions, and revocation
Determine whether the assistant evaluates the user’s current tenant permissions at query time, inherits sensitivity labels, and immediately honors account suspension or group changes. Test a removed user, a revoked document, and a restricted site; do not rely only on a vendor diagram.
Audit and retention policy
Check whether interactions are discoverable, exportable, and covered by your retention schedule. Identify who can view transcripts, whether prompts are redacted, which administrator actions are logged, and how legal holds work.
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Network and key controls
For high-risk workloads, determine whether traffic can remain on private endpoints or a VPC, whether customer-managed keys are supported, and which service-to-service calls leave your boundary. A secure front door does not automatically secure an external connector.
Models, connectors, and operations
List the models, retrieval indexes, plug-ins, agents, web search, file stores, and ticketing systems you actually need. Price the complete service: user licenses, API tokens, connector capacity, storage, network egress, implementation, monitoring, legal review, and incident response. Canonical documentation for these products does not establish a universal cost or performance ranking.
ChatGPT Enterprise and OpenAI business products
Why enterprises shortlist it
OpenAI states: “By default, we do not use data from ChatGPT Enterprise, ChatGPT Business, ChatGPT Edu, ChatGPT for Healthcare, ChatGPT for Teachers, or our API platform—including inputs or outputs—for training or improving our models.” This makes the listed business and API offerings candidates for confidential work when the organization selects an eligible configuration.
OpenAI documents support for GDPR and CCPA, SOC 2 Type 2 and ISO/IEC 27001-family certifications, HIPAA Business Associate Agreements for eligible products, and regional storage choices for eligible business customers. Its security material also describes independent SOC 2 Type 2 examination and support for GDPR, CCPA, HIPAA, and FERPA compliance efforts.
What to confirm
- The exact workspace or API product is covered by the organization’s contract and, when needed, its BAA.
- Regional storage applies to prompts, uploaded files, outputs, logs, and backups used by your chosen features.
- Retention controls cover conversation history, API logs, abuse monitoring, and support access.
- Custom GPTs, retrieval stores, actions, connectors, and external tools follow the same data-use terms as the base workspace.
- Administrators can export audit evidence and remove users, files, and integrations within the required time.
When it is the practical choice
Choose this route when users need a general-purpose assistant across writing, analysis, coding, and internal knowledge, or when developers need one API ecosystem for several applications. It is less suitable when your primary requirement is deep Microsoft 365 permission inheritance, Google-native data governance, or AWS VPC-level control.
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Microsoft Copilot
Why Microsoft 365 customers consider it first
Microsoft states: “Your access controls and policies apply to Copilot: Copilot respects your identity model and permissions, inherits your sensitivity labels, applies your retention policies, supports audit of interactions, and follows your administrative settings.” For a tenant already governed by Entra ID, Microsoft Purview-style labels and retention, and Microsoft audit tooling, this reduces the number of separate control planes.
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Validation tests for a Microsoft tenant
- Create a test user with access to only one labeled document and ask Copilot for information from a second, restricted document. The response must not reveal the restricted content.
- Change the user’s group membership and sensitivity-label access, then repeat the query after the documented propagation interval.
- Disable or delete the account and verify that new requests fail and that existing data follows the tenant’s retention and legal-hold policy.
- Run an equivalent prompt with web search enabled and disabled. Record which service processes each request and whether the mode is inside your DPA or BAA.
- Export the interaction and administrator audit records needed by your compliance team.
Best use case
Copilot is compelling when the protected information already lives in SharePoint, OneDrive, Teams, Exchange, or other Microsoft-controlled sources and the organization wants existing permissions and labels to remain authoritative. Treat every external connector and web-search mode as a separate data flow.
Gemini Enterprise
What the Google documentation establishes
Google Cloud’s compliance material lists HIPAA, SOC 2, and data-residency controls for Gemini Enterprise Standard and Plus editions and Gemini Notebook Enterprise, with edition and feature footnotes. That makes Gemini a natural candidate for Google Workspace and Google Cloud environments, but the edition name alone is not enough evidence for a regulated deployment.
Questions to resolve before approval
- Which Gemini Enterprise edition is licensed, and which listed certification or control applies to that edition?
- Which country or region stores prompts, notebook content, indexes, logs, and backups?
- Are connected Drive, Gmail, BigQuery, or third-party sources included in the same contractual scope?
- What administrator, user, and model-interaction events are logged, and can they be exported?
- Does the organization’s DPA or BAA cover the exact Gemini feature, not merely Google Cloud generally?
Gemini is usually the shortest path when Google identity, Workspace permissions, and Cloud controls already govern the data. A mixed environment should be tested carefully because a connector can introduce a different region, retention rule, or subprocessor.
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Amazon Bedrock
Why Bedrock is different
Bedrock is a managed AWS service for using AWS, third-party, and other foundation models behind common AWS controls. AWS describes encryption in transit and at rest, AWS Key Management Service integration, private VPC connectivity through AWS PrivateLink, and alignment with GDPR, HIPAA, SOC, and FedRAMP High requirements.
AWS separately documents Bedrock AgentCore as HIPAA eligible and validated against FedRAMP Class C and D, SOC 2, ISO 27001, ISO 27017, ISO 27018, ISO 27701, and related standards. Those statements apply to the documented service scope; they do not automatically cover every model, agent, region, or downstream system you attach.
Architecture checks
- Select an AWS region that satisfies your residency requirement and verify where model invocation, agent state, logs, and backups are stored.
- Use IAM roles with least privilege for applications, operators, and retrieval services. Test denied access as well as allowed access.
- Route service traffic through the required VPC endpoints or PrivateLink configuration and restrict egress with security groups and network policies.
- Use KMS keys with documented ownership, rotation, access logging, and separation of duties.
- Decide whether prompts, outputs, traces, and knowledge-base documents enter CloudTrail, application logs, agent traces, or third-party observability tools.
- Document the selected foundation model and its own terms; model optionality does not remove the need to review each provider.
Best use case
Bedrock fits teams that need private AWS networking, IAM-centric authorization, customer-managed keys, model choice, or a path toward government and highly regulated deployments. It usually requires more architecture and operational ownership than a turnkey end-user assistant.
Comparison by control area
| Control question | ChatGPT/OpenAI business | Microsoft Copilot | Gemini Enterprise | Amazon Bedrock |
|---|---|---|---|---|
| Training exclusion | Default exclusion stated for listed business products and API; verify product and contract | Check the applicable Microsoft product terms and tenant configuration | Verify edition-specific terms and controls | Verify AWS and selected-model terms for the service path |
| HIPAA path | BAA available for eligible products | Supported for properly configured implementations; web search is outside DPA/BAA | Listed for specified editions with limitations | AWS states Bedrock alignment and AgentCore HIPAA eligibility; validate exact architecture |
| Residency | Regional storage choices for eligible business customers | EU Data Boundary commitments and product-specific location rules | Data-residency controls listed for specified editions | Region selection and AWS service architecture |
| Permission model | Workspace and application controls; test each connector | Inherits identity, permissions, labels, and retention policies | Google identity and connected-source permissions; verify behavior | AWS IAM, VPC, and application authorization |
| Private networking | Not established for every end-user feature; confirm architecture | Depends on the Microsoft service and connector | Depends on the Google Cloud or Workspace feature | PrivateLink VPC connectivity is documented |
| Cost benchmark | Not stated in the available documentation | Not stated | Not stated | Not stated; include tokens, infrastructure, storage, and operations |
A procurement and validation procedure
- Write a data-flow map. List users, prompts, attachments, retrieval indexes, model calls, web search, plug-ins, logs, support access, regions, and deletion points.
- Define prohibited inputs. Until contracts and controls are approved, block credentials, payment-card data, unredacted health records, highly confidential source code, and regulated identifiers.
- Choose the deployment family. Start with the identity and cloud platform that already governs the data: Microsoft 365, Google Workspace/Cloud, AWS, or an OpenAI business/API environment.
- Collect written evidence. Request the current DPA, BAA if applicable, security report, subprocessor list, region statement, retention schedule, incident-notification terms, and feature-specific data-use terms.
- Run adversarial tests. Test revoked permissions, cross-tenant sharing, deleted files, prompt injection in retrieved documents, web-search mode, connector failures, and administrator access.
- Set technical guardrails. Enforce single sign-on, multifactor authentication, least privilege, approved connectors, region restrictions, content filters, secrets scanning, and audit export.
- Approve a limited pilot. Use synthetic or de-identified records, a small user group, short retention, and a named owner. Measure policy violations and false refusals before expanding.
- Monitor continuously. Review access logs, new features, model changes, subprocessors, region changes, and contract updates. Reassess when a connector or agent is added.
Common failure modes and fixes
“The vendor says no training, so we approved it.”
Fix: separately document retention, residency, deletion, access, legal coverage, and subprocessors. Training exclusion answers only one question.
A connector exposes more files than intended
Fix: create a least-privilege service identity, mirror source permissions, test a revoked user, and disable broad indexing until negative tests pass.
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Web search sends regulated content outside the agreement
Fix: disable web search for protected workflows or route it through an approved, separately governed service. Microsoft’s Copilot documentation makes this boundary explicit.
Logs contain the sensitive prompt
Fix: inventory platform, application, agent, observability, and support logs; redact or hash fields where possible; set retention and access policies; test deletion.
A region setting covers storage but not inference
Fix: obtain a written data-location statement for inference, support, abuse monitoring, backups, and every connected service, not just the primary workspace.
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Fix: map the certification’s scope to your own controls, workforce, configuration, risk assessment, and incident process. Compliance remains a shared-responsibility exercise.
Choosing by organization type
- Microsoft 365-first organization: start with Copilot, then verify connector permissions and keep web-search traffic out of protected workflows unless separately approved.
- Google Workspace or Google Cloud-first organization: evaluate the documented Gemini Enterprise edition and region, and test every connected data source.
- AWS platform or government-oriented team: use Bedrock when VPC isolation, IAM, KMS, model choice, and region control outweigh turnkey user experience.
- Cross-platform enterprise needing one general assistant and API: evaluate ChatGPT Enterprise or an eligible OpenAI business product, with explicit workspace, BAA, retention, and regional-storage confirmation.
- Mixed cloud environment: select one system of record for identity and audit, then prohibit unmanaged exports between assistants until each transfer is covered.
Final approval checklist
- Exact product, edition, region, model, connector, and agent are named.
- Training exclusion is contractual and applies to inputs, outputs, files, feedback, and logs as relevant.
- Retention, deletion, backup, legal hold, and support-access behavior are documented.
- DPA and, where required, BAA cover the precise feature and data class.
- Prompt, file, embedding, inference, telemetry, and backup locations satisfy residency rules.
- Identity, labels, IAM, revocation, and connector permissions pass negative tests.
- Audit records are exportable and retained under policy.
- Network isolation, encryption, KMS or equivalent key controls, and egress rules are implemented where required.
- Web search, plug-ins, agents, and subprocessors have separate approval.
- A named owner monitors policy, feature, model, region, and contract changes.
MSCI’s August 2025 Approved AI List names ChatGPT Enterprise, Gemini Enterprise, Claude Enterprise, Amazon Bedrock/Nova Enterprise, and IBM watsonX. Inclusion on that list is a market-screening signal, not a substitute for your own legal, security, and configuration review.
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