How Microsoft and PlainID Extend Trust Through Agentic Workflows

Picture a routine agentic workflow: a user delegates a task, and an AI agent takes it from there, querying a data platform outside Microsoft’s ecosystem, calling an external API, invoking an MCP tool, updating a custom application, all before a human looks at it again.

Once an agent leaves your primary ecosystem, who is actually governing what it does next?

Microsoft and PlainID are addressing that gap together. Microsoft supplies the identity, security, and native governance foundation an agentic workflow starts from. PlainID picks up that trusted context and carries it forward, making Runtime Authorization decisions at the point where the agent actually touches a tool, an API, or a dataset.

The Gap Between Identity and Action

Static enterprise access models were built for predictable user-to-application requests, not the complex, multi-party chains inherent in agentic systems. These systems conflate the human user, the agent identity, and the target tool into a single delegated chain.

An authorization decision may need to consider the human user and their entitlements, the agent identity, the target tool or API, the sensitivity of the data, the purpose of the task, and the current risk.

Traditional identity controls remain necessary, but they were not designed to express every decision in this chain at the level of a specific tool parameter or data row. Ultimately, the issue is not that native cloud controls are weak; it is that no single platform can govern every downstream interaction once workflows extend into systems it does not manage.

The Next Control Plane is Runtime Authorization

Runtime Authorization addresses the point between trusted identity and permitted action. To preserve policy continuity, organizations need to manage authorization logic centrally and enforce it consistently across the enterprise. This creates three requirements:

1. Zero Standing Privileges must govern the delegated chain: As the workflow moves from one system to another, the agent’s effective permissions should be continuously recalculated rather than carried forward as persistent access.

2. Enforcement must happen near the resource: Guardrails must enforce authorization immediately before an API call, tool invocation, data retrieval, or response generation. PlainID can apply policy across four critical points in the agentic flow: prompt and input, data retrieval, tools and APIs, and output.

3. Policy must be managed centrally and enforced consistently across the enterprise: Organizations need a way to manage authorization logic centrally and enforce it consistently across supported decision and enforcement points. This allows the same identity, business, risk, and data-access requirements to govern the workflow as it moves across applications, clouds, tools, APIs, and data stores.

PlainID Extends Microsoft Context into Runtime Authorization

Microsoft provides the identity and security foundation. Conditional Access evaluates signals such as identity, risk, device posture, network, and session context to determine whether access should be allowed or blocked.

PlainID complements Microsoft by consuming these trusted identity, risk, and data signals and using them as inputs to Runtime Authorization. PlainID then enriches those trusted signals with resource, business, and environmental parameters, using that context as the building blocks for centralized policy creation and real-time authorization decisions.

Composite Identity Keeps Agent Access Within the User’s Authority

Agentic workflows can involve a human user, an agent, and one or more service or non-human identities. PlainID uses composite identity binding to evaluate that chain together, ensuring that the agent’s effective access does not exceed the entitlements and permissions of the user it represents. This complementary approach connects Microsoft’s trusted identity and risk context to PlainID’s authorization decisions as the workflow progresses.

Extending Trust Through the Full Agentic Workflow

So what about that AI agent from earlier, the one querying external data and invoking tools before a human ever checks its work?

With PlainID, when that agent leaves the Microsoft ecosystem, it does not do so with broad, standing privileges. Instead, PlainID evaluates the composite identity of both the human and the agent, enforcing fine-grained controls to filter data rows and mask sensitive information at the exact moment of request. When the agent moves on to invoke an MCP tool or call an external API, PlainID governs the specific parameters it is allowed to use, continuously recalculating the delegated chain to enforce Zero Standing Privileges.

The strategic value is continuity. The identity, risk, and business context established at the beginning of the workflow continues to shape exactly what the agent is permitted to access, do, and expose as the task unfolds.

Download our data sheet to discover how PlainID’s Runtime Authorization Platform secures the AI era by governing exactly what every human, non-human, and AI agent can access, do, and expose.