Connecting Salesforce to AI assistants with MCP
Compare connection approaches and follow a business question through to a briefing someone can check.
Risks, architecture and the questions buyers should ask.
Where information goes, what your team can control and what needs evidence before approval.
Get the white paperWritten for Business and operations leaders, together with their Salesforce administrator, security reviewer and procurement team.
PDF guide companion worksheet · English
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Security is more than asking whether data leaves Salesforce. For a workflow using an external model, identify the content it receives, the provider's terms, the identity performing the work and the actions that can follow. This guide separates those questions so your team can ask for evidence at the right boundary.
Draw one request from the person or event that starts it through Salesforce, the AI provider and any connected assistant. Distinguish processing, retention and training: they are different questions. Review the terms that apply to the actual service and account, rather than relying on a general statement about an AI brand.
An instruction tells a model how it should behave. It is not an access control. Identify the identity, permissions, tool restrictions and any approval step that actually govern a specific operation. Being allowed to read information does not settle where that information may subsequently be sent.
Use synthetic information and restricted identities when planning acceptance tests. Check allowed work and denied work, then record the exact route, expected result and evidence. A log entry, an absent entry or two reviewers agreeing is not sufficient on its own to establish that a control worked.
Practical frameworks, worked examples and a companion worksheet to bring into your own evaluation.
Use REDA AI's governance information to examine the architecture, channel-specific access, spending controls and available records. The guide is a decision aid, not a security certification.