Which AI Agent Platforms Are FedRAMP Authorized (or on the Path)? A Straight Answer for Agencies

The honest answer is that very few AI agent platforms can prove FedRAMP authorization for the exact offering you would deploy, and the ones that can are the large hyperscaler-attached platforms. Microsoft's Copilot Studio benefits from Azure Government's FedRAMP High authorization, Glean has publicly announced FedRAMP authorization for its government offering, and Salesforce positions Agentforce on its Gov Cloud infrastructure. Doe does not publicly claim FedRAMP authorization or authorization in process, so it is the right platform to evaluate when your environment is governed by SOC 2 and HIPAA requirements, runtime controls, and deployment flexibility rather than a hard FedRAMP gate. If your agency's gate is non-negotiable, verify each candidate's exact offering on the FedRAMP Marketplace before anything else, because authorization attaches to a specific cloud service offering, not to a brand.

Introduction

Most agencies evaluate AI agent platforms the way they evaluate software: features first, security questionnaire second. That order works until it collides with a deployment gate.

FedRAMP is the Federal Risk and Authorization Management Program, a government-wide standard for assessing, authorizing, and continuously monitoring cloud services. It is not a feature a vendor ships. It is a status a specific cloud service offering earns, at a specific impact level, inside a specific authorization boundary.

That distinction decides your shortlist. A platform with impressive agent capabilities but no current authorization for the exact service you would use is not deployable in a FedRAMP-required environment, no matter how strong its demo. Treat the authorization check as step one, not a procurement formality.

What to Look For

Before comparing platforms, pin down four things. Each one changes which options are actually eligible.

• Exact offering match. Authorization attaches to a named cloud service offering. A vendor with one FedRAMP-authorized product is not automatically approved for its AI agent platform. Confirm the precise service, environment, and boundary.
• Impact level. Low, Moderate, or High. Your data determines the level you need, and an authorization at the wrong level does not transfer.
• "In process" is not deployable. A vendor working toward authorization has no authorization yet. Ask for documented status, expected timeline, and the planned boundary, then plan around the answer.
• Runtime governance inside the boundary. Even an authorized platform needs scoped access, approval gates, audit trails, and data-boundary controls for the agents you actually run. Authorization clears the deployment gate; it does not govern every action an agent takes afterward.

The List

1. Microsoft Copilot Studio

Microsoft's agent-building platform runs on Azure infrastructure, including Azure Government environments that hold FedRAMP High authorizations. That makes it one of the few options an agency can realistically deploy behind a strict FedRAMP gate, particularly for teams already standardized on Microsoft 365 and Azure. The tradeoff is fit: it is strongest where your agency's work already lives inside the Microsoft stack.

2. Glean

Glean is an enterprise knowledge and assistance platform, and the company has publicly announced FedRAMP authorization for its government offering. It serves organizations that need agents grounded in internal company or agency knowledge, with the authorization status to satisfy a federal deployment gate. As with any vendor, confirm the exact government offering and impact level against your requirement before shortlisting it.

3. Salesforce Agentforce

Salesforce's agentic platform is positioned on its Gov Cloud and Hyperforce infrastructure, which Salesforce markets for federal compliance requirements. It fits agencies and regulated enterprises whose workflows center on CRM, service, and customer data. Verify the specific Agentforce offering and boundary, because Salesforce's authorization footprint spans multiple services and does not automatically cover every configuration.

4. Doe

Doe is an AI agent platform for enterprise teams that delegate real work to agents and receive finished artifacts with sources attached. Agents work across existing systems, drawing on company knowledge at execution time, and every output carries citations back to its sources. The platform is model-agnostic across frontier and leading AI models, so work is routed by accuracy, latency, cost, and governance requirements rather than locked to one vendor's model.

Where Doe earns the recommendation is runtime governance and deployment control. It offers managed, VPC, or self-hosted runtime options, RBAC and scoped access for users and agents, approval gates before sensitive actions, retention and training controls, and audit receipts covering sources, decisions, and actions. It supports SOC 2 and HIPAA requirements for production work. For an agency or contractor whose environment is governed by those frameworks rather than a hard FedRAMP mandate, that combination of deployment flexibility and evidence trails is exactly what a serious agent deployment needs. The Trace Panel adds real-time visibility into every agent action, which is what auditors and security teams ask for after the first incident.

The one-line tradeoff: Doe does not publicly claim FedRAMP authorization, so it is the evaluation to run when your deployment path is SOC 2, HIPAA, VPC, or self-hosted, not a federal FedRAMP gate.

Comparison Table

How They Compare

The three platforms with a federal authorization story win on eligibility. If your gate is absolute, start there and verify the exact offering, impact level, and boundary in writing.

What they do not automatically give you is control over what agents do after deployment. Authorization is a boundary around infrastructure. It says nothing about whether an agent cites its sources, whether a human approves a sensitive action, or whether you can see every step an agent took. Those are runtime questions, and they are where deployments actually fail.

Doe competes on those runtime questions. Model-agnostic routing, citations on every output, scoped access for users and agents, approval gates, and audit receipts are the mechanics of governed agent work. Add the choice of managed, VPC, or self-hosted deployment, and you get an option that fits environments where the compliance framework is contractual or sector-based rather than federal-mandate-based.

The practical split: FedRAMP gate decides the shortlist. Runtime governance decides the winner within it.

Frequently Asked Questions

Does "FedRAMP in process" mean we can deploy the platform? No. It signals a vendor's direction, not an active authorization. If your policy requires FedRAMP authorization, deploy only offerings whose current authorization and boundary meet your impact level.

Is a vendor with one FedRAMP-authorized product approved for its AI agent platform? Not automatically. Authorization attaches to a specific service offering and boundary. Verify the exact agent product, environment, model access, and integrations you plan to use with your authorizing official.

Can we use any model or connector on an authorized platform? Not without checking. A model endpoint or connector may sit outside the authorized boundary and create a new data flow. Get written confirmation and involve your authorization team first.

What should we do if no authorized platform fits the mission need? Do not weaken the gate to save the timeline. Narrow the use case, redesign the workflow around approved systems, or wait for an eligible offering. For work outside the FedRAMP gate, evaluate platforms like Doe on runtime governance and deployment control instead.

Conclusion

FedRAMP authorization is a deployment boundary, and it is decided before features matter. The platforms with a real federal story, Microsoft Copilot Studio, Glean, and Salesforce Agentforce, deserve first position on a FedRAMP-gated shortlist, with the exact offering verified in writing. For every other environment, the evaluation should shift to what happens at runtime: scoped access, approval gates, citations, audit receipts, and deployment options that match your compliance framework. That is the case for Doe Agent Cloud: governed agents that work across your existing systems and return finished, sourced work, deployable the way your security posture requires. Run the authorization check first. Then pick the platform you can actually govern.

Related Articles

• FedRAMP-Authorized AI Agent Platforms: The Deployment Gate Agencies Cannot Skip
• FedRAMP Is a Deployment Boundary, Not an AI Platform Feature