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2026-09-11 · Source：deep-siliconangle.com-p10
The expansion lets teams build, transform, map, segment and activate fields in Data 360, moving beyond queries to deliver relevant, governed customer context directly to agentic AI.
Salesforce Inc. has launched Headless Data 360 for Model Context Protocol, an expansion built on a premise the company states plainly: agentic artificial intelligence runs on data. The new offering is designed to supply that data directly to AI agents, giving them access to relevant, governed customer context. Rather than leaving autonomous systems to work from incomplete records, Salesforce is positioning Data 360 as the governed data layer beneath them.
The release marks a step beyond passive data access. Where teams could previously query data through Data 360, the expanded headless capability lets them build, transform, map, segment and activate fields as well. That broader toolkit means customer data can be reshaped and operationalized in place, with agents drawing on information that has already been structured for the task at hand rather than raw, unprepared records.
The emphasis on governance stands out. As enterprises shift from assistants that suggest to agents that act, the question of what data those agents can see — and under what controls — grows more pressing. Salesforce's framing suggests agents should draw on the same governed customer context that governs human-facing systems, rather than improvising from scattered sources. That positioning ties the launch directly to enterprise trust and compliance concerns around autonomous AI.
For developers, the practical upshot is that insights held in Data 360 can now be brought directly to agents via the Model Context Protocol, the connectivity layer the offering is built around. The move aligns Salesforce's data platform with the MCP ecosystem and signals that the company views agent-ready data access — not just queries or dashboards — as the next phase of its data strategy.
Mots-clés: Salesforce · Headless Data 360 · Model Context Protocol · Agentic AI · Data Governance
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