AI Policy

AI Policy is a written organizational guideline that defines acceptable AI use, required controls, and roles and responsibilities for everyone interacting with AI systems. Typical AI policies cover allowed and prohibited use cases, approved tools and vendors, data-handling rules (what can be sent to public LLMs vs kept internal?), privacy and confidentiality expectations, intellectual property considerations, human oversight requirements, and disciplinary consequences for violations. Real-world examples include Samsung's restrictive ChatGPT policy following its 2023 data leak, JPMorgan Chase's internal AI policies, federal agency AI policies under the U.S. Executive Order on AI, and the model AI policies published by organizations like the IAPP. AI policy is the foundation document for any AI governance program and the starting point for AI compliance. Without clear AI policy, even the best technical controls fall apart. Responsible AI requires written, communicated, trained-against, and enforced policies that keep AI risk management practical and AI ethics operational.

Centralpoint Enforces Your AI Policy at the Tool Layer: Policy without enforcement is wishful thinking. Centralpoint by Oxcyon converts your AI policy into technical controls — metered access to OpenAI, Gemini, Llama, or embedded models, with prompts and skills kept on-premise. Deploy compliant chatbots into your portals using a single JavaScript line.


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