One handles access inside the Microsoft stack, the other evaluates outcomes across your whole fleet, so they answer different questions.[1][2]
Microsoft Agent 365 covers agent identity, access, and inventory inside the Microsoft stack. Prefactor evaluates what each agent's runs achieved, at what quality and cost, on any framework. Use Agent 365 to control access, and Prefactor to check outcomes across the whole fleet.
| Decision factor | Microsoft Agent 365 | Prefactor |
|---|---|---|
| Where it fits | Managing agents inside Microsoft | Knowing each agent did its job |
| What it covers | Agent inventory, access, and permissions | Agent outcomes: quality, drift, cost per run |
| Framework scope | Microsoft-native, select third-party | Agent evaluation on any framework |
| How it attaches | Built into Microsoft identity and licensing | Native SDK, core SDK, or OpenTelemetry ingest, no rebuild |
| Availability | Preview, GA expected 1 May 2026 | Available now |
| Use them together? | Manage access with Agent 365 | Evaluate the agents with Prefactor |
Best for enterprises invested in Microsoft 365, Copilot Studio, and Azure AI Foundry that need access management within that ecosystem.
Best for teams running agents in production, inside Microsoft and beyond, who need to know each one is doing its job, and prove it.
| Capability | Microsoft Agent 365 | Prefactor |
|---|---|---|
| Identity and access inside Microsoft | ||
| Agent inventory / register | ✓ | Registers agents you instrument |
| Access control and permissions | ✓ | — |
| Session activity across the Microsoft stack | ✓ | — |
| MCP enterprise allowlist | ✓ | — |
| Evaluating agents in production | ||
| Quality score per run | — | ✓ |
| Cost attributed per agent and version | — | ✓ |
| Drift detection against a baseline | — | ✓ |
| Hold or escalate a risky action | Static access policy | ✓ |
| Across your stack | ||
| Agent evaluation on any framework | Microsoft-native, select third-party | ✓ |
| One queryable record per agent | Within Microsoft | ✓ |
| Audit trail for a decision | — | ✓ |
We sell the layer this section describes. Read it with that in mind.
Agent 365 answers who an agent is and what it may touch: identity, permissions, and allowlisted tools. Those are access questions, separate from whether the agent did its job on a given run, at acceptable quality and cost.
An agent can hold exactly the right permissions and still return a wrong answer. Prefactor measures each run against the agent's objective, whatever the agent was allowed to touch.
An agent can drift after a prompt change and start failing the task while its access stays the same. Prefactor catches the shift before a user hits it.
Spend is attributed per agent, and the quality score is tracked per agent across versions.
Prefactor reads the traces an agent emits on any framework, through a native SDK or OpenTelemetry ingest, so access management inside Microsoft and outcome evaluation across your fleet sit side by side.
Reviewed against public product and documentation pages on March 19, 2026. If a vendor has changed a feature, product name, or positioning since then, send a correction and we will update it. Numbered source links in the page body point to the ordered sources below.
Book a demo and we will evaluate a live agent on a fleet like yours: quality per run, drift after a change, and cost per agent.
Prefactor helps teams observe, evaluate, and improve their AI agents in production, across every framework and provider.