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Salesforce Agentic Identity Gives AI Agents Their Own Login

Salesforce Agentic Identity diagram showing an AI agent with its own login and permission set
📍 Part of our Dreamforce 2026 coverage — see also AIforce and the permission cleanup it just made urgent

Until now an AI agent working in Salesforce borrowed the login of the person it was helping. 🔐 Salesforce Agentic Identity changes that and gives every agent its own badge, its own permissions and its own paper trail.

For admins this is the security upgrade they quietly wanted. For finance teams it also brings a new line in the budget, so it pays to understand both sides before your first external agent goes live.

BEFORE Maria Sales Rep login Full user permissions Agent acts as Maria AFTER Agent ID Own OAuth app Own scoped permission set Own activity log Its own badge, not a borrowed one.
An agent that used to borrow a login now gets its own badge, its own permissions and its own activity log.

What is Salesforce Agentic Identity

Salesforce Agentic Identity is a registration system that gives each AI agent connecting to Salesforce its own OAuth credentials and its own scoped permission set, instead of acting under the login of the employee it serves. An agent gets issued its own badge rather than borrowing an employee's badge, and every action it takes is tied back to that badge alone.

This matters now because the quiet workaround is already everywhere. Claude, ChatGPT and custom built agents already read and write CRM data through MCP and direct API calls, almost always under a human user's credentials, which means an audit log cannot actually tell you whether a given record change came from the person or from the tool acting on their behalf.

What changes for admins

  • Every external agent gets registered and scoped the way a new employee would be, under the principle of least privilege rather than inheriting a person's full access
  • Every agent action becomes fully traceable, and access can be revoked for one agent in a single click without touching the human user it used to borrow credentials from
  • MCP clients will eventually move to the OAuth credentials of the registered agent identity instead of a shared user login
Traditional integration Registered AI agent Identity Borrows a human user's login Own OAuth credentials Permissions Inherits full user access Scoped, least privilege Audit trail Blends into user's history Fully traceable to the agent Pricing model Standard API pricing Flex Credits per interaction Metered in sandbox Not applicable No, sandboxes are free
Five rows, traditional integration against a registered AI agent.

How Flex Credits metering will work

Every successful call a registered agent makes to Salesforce, whether it arrives through MCP or a direct API call, will count as a Headless Platform Interaction and draw down Flex Credits, tracked through Digital Wallet. Traditional integrations keep today's pricing, and sandboxes, scratch orgs and Developer Edition orgs are not metered under this model, so building and testing an agent costs nothing extra before it goes live.

STEP 1 Agent calls MCP or direct API STEP 2 Identity checked Salesforce verifies the badge STEP 3 Action runs Scoped to agent permissions STEP 4 Logged Recorded in Digital Wallet
What happens, in order, every time a registered agent reaches into Salesforce.
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Salesforce has not yet published the Flex Credit multiplier for a Headless Platform Interaction, so the per call cost cannot be calculated yet. Salesforce has committed to 30 days of notice before metering actually begins, which gives every org a real window to measure expected agent volume before a single credit is charged.

A five point readiness checklist

Agentic Identity Readiness List every AI tool that already touches Salesforce Name one accountable owner per agent Draft a scoped permission set per agent Estimate monthly call volume per agent so the Flex Credit cost is not a surprise Build and test each agent in a sandbox first truesolv.com, before your first external agent goes live
Before your first external agent goes live.

Agents with their own identity are easier to trust, easier to audit and much easier to explain to a security team asking hard questions about what is touching customer data.

Agentic Identity builds directly on the access review we covered in AIforce and the permission cleanup it just made urgent. For a structured way to do that review, see our Salesforce permission set audit guide.

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