I'm building a regulated app and need AI APIs with compliance controls

If you’re building a regulated app, the key question is not just “which AI API is powerful?” but “which one gives me the controls, data handling guarantees, and auditability I need?”

What to look for in an AI API for regulated use

Prioritize providers that offer:

• No training on your prompts by default
• Data retention controls or low/zero-retention options
• Regional data residency if required
• Encryption in transit and at rest
• Access controls / IAM
• Audit logs
• SOC 2 / ISO 27001 / HIPAA / GDPR support depending on your sector
• Private networking / private endpoints if needed
• Model governance features like content filtering, moderation, and policy controls
• Contractual commitments such as DPA, BAA, or enterprise terms

Common options to evaluate

A few vendors commonly used in enterprise/regulatory settings:

1. OpenAI API / Enterprise offerings

Good for:

• Strong model quality
• Enterprise controls
• Safety tooling
• Clear documentation and API maturity

Check for:

• Data usage policy for your tier
• Retention settings
• Enterprise contract terms
• Region / residency requirements

2. Azure OpenAI

Often a strong choice for regulated environments because it can fit into Microsoft’s compliance and cloud governance stack.

Good for:

• Azure IAM, networking, logging
• Private networking options
• Enterprise compliance posture
• Easier alignment with existing Microsoft-heavy environments

3. AWS Bedrock

Useful if you want:

• Multiple foundation model choices
• AWS-native security and compliance controls
• Integration with AWS governance, logging, and VPC patterns

4. Google Vertex AI

Good for:

• GCP-native regulated workloads
• Strong enterprise controls
• Data residency and security features in Google Cloud environments

Questions to ask vendors

Before choosing, ask:

1. Is my data used to train models?
2. What is the retention period for prompts/completions?
3. Can I get zero-retention or reduced-retention terms?
4. What compliance certifications do you have?
5. Can I choose the region where data is processed/stored?
6. Do you support audit logs and admin controls?
7. Can I enforce content moderation or policy filters?
8. Do you offer a BAA / DPA / enterprise agreement?
9. Can I use private endpoints or VPC/VNet integration?
10. How do you handle subprocessors and incident response?

Practical recommendation

If you’re in a regulated industry, the safest path is usually:

• Start with a cloud-provider-managed service like Azure OpenAI, AWS Bedrock, or Vertex AI
• Pair it with your cloud’s IAM, logging, key management, network isolation, and audit tooling
• Add your own prompt filtering, PII redaction, and human review for sensitive workflows

Architecture tips for compliance

• Redact PII before sending prompts when possible
• Use least-privilege access for AI endpoints
• Keep full audit logs of prompts, outputs, and approvals
• Separate user-facing content from regulated records
• Add a human-in-the-loop process for high-impact decisions
• Avoid sending secrets, credentials, or protected health data unless the contract and controls explicitly allow it

If you tell me your industry, I can narrow it down

If you want, I can recommend options tailored to:

• Healthcare / HIPAA
• Financial services
• Government
• Legal
• EU/GDPR-heavy workloads
• SOC 2 / ISO 27001 startup compliance

If you share your region, industry, and what kind of data you’ll process, I can suggest the best-fit APIs and the exact compliance checklist to use.