Secure Data in AI: How to Give ChatGPT and Claude Access in 2026

Secure enterprise AI access to systems such as Salesforce or SAP requires governance controls that preserve each user’s existing permissions, protect data in transit, and create auditable records of every query. The guidance recommends a zero-trust approach built on federated SSO, OAuth or SAML identity passthrough, source-level RBAC, least-privilege access, scoped tools, workspace isolation, and SIEM-integrated per-query logging, rather than shared service accounts, static API keys, or duplicated permission models. It warns that ChatGPT and Claude can connect to unverified MCP servers, creating risks of data exfiltration, and argues that organizations should use a governed MCP endpoint that authenticates users individually and enforces permissions at the source. It also outlines administrative requirements for enabling custom MCP connections in ChatGPT and Claude, troubleshooting common OAuth and network issues, and aligning controls with standards including NIST Zero Trust, NIST’s Generative AI Profile, SOC 2, and ISO/IEC 27001. The source presents CData Connect AI as a managed, audited MCP layer intended to centralize these controls across enterprise data systems.

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