AI Compliance Library

AI API Acceptable Use Policy for Developers

What can engineers send to OpenAI, Anthropic, and Azure AI APIs? What's absolutely prohibited? What are the mandatory controls? Approved providers, data rules, and a before/during/after build checklist.

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AI API Acceptable Use Policy for Engineers

Written for developers. Approved providers, prohibited data, and the mandatory controls – all in plain language.

For Whom: Engineering teams and their security leads integrating AI APIs (OpenAI, Anthropic, Azure AI, Vertex AI) into products or internal tools.

The Pain: Developers integrate AI APIs without knowing which data is prohibited, whether a DPA is needed, or what monitoring is required. The result is data exposure, cost surprises, and security gaps discovered in audit.

What’s Inside: Approved AI API provider table by data tier, prohibited data categories, mandatory controls in three phases (before/during/after build), cost management requirements, and fast-fail conditions.

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