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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteYes. U.S. federal agencies can buy commercial AI tools, but purchasing a product does not by itself authorize its use with government information. For a cloud service within FedRAMP’s scope, the agency must assess the particular use, review the service’s security evidence, and authorize the agency information system that uses it. A FedRAMP certification is reusable evidence—not blanket approval for every agency or deployment.
Can federal agencies buy commercial AI tools?
Yes. The General Services Administration (GSA) lists government acquisition routes for AI services, including OneGov agreements, GSA contracting vehicles, cloud solutions, and other purchasing paths on its Buy AI page. The route and eligibility depend on the agency and the specific procurement; confirm current availability and terms rather than assuming a listed offer is still open.
The White House’s April 7, 2025 fact sheet describes an acquisition policy direction that favors competition, clear requirements that avoid vendor lock-in, performance-based techniques, and protection of privacy and lawful use of government data. That stated direction does not replace applicable law, agency policies, or security review. Read the White House fact sheet.
Does every AI tool need FedRAMP?
No blanket rule applies to every AI product. FedRAMP covers cloud products and services that create, collect, process, store, or maintain federal information on behalf of an agency, subject to exclusions. Whether a particular use is in scope depends on the service and how the agency uses it; the same product could be in scope for one deployment and outside scope for another. FedRAMP states that only a federal agency can determine whether its use case falls within the program’s scope. See FedRAMP’s scope guidance.
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FedRAMP identifies practical indicators agencies can consider when assessing scope:
- Whether the service will handle sensitive federal information.
- Whether the agency needs a dedicated tenant or central administration.
- Whether the service integrates with agency security services.
- Whether multiple agencies or third parties are expected to use it.
These indicators help frame the agency’s assessment; they are not a substitute for determining whether the specific service and use fall within FedRAMP’s requirements.
Does FedRAMP certification authorize an agency to use a service?
No. Certification provides security assessment evidence about a cloud service offering. The agency still evaluates whether that offering, with its chosen configuration, data, integrations, and agency-operated controls, is appropriate for its mission and risk posture. Its authorizing official accepts risk for the agency information system that uses the offering; the agency documents that system’s authorization rather than treating the provider’s certification as its own approval. FedRAMP’s agency-use guidance explains this distinction.
Agencies should reuse existing assessment and authorization materials to the extent practicable, as directed by law. Reuse does not transfer the agency’s responsibility for information-security compliance or prevent it from requiring additional controls when a demonstrable need exists. Read FedRAMP’s explanation of its agency legal authority.
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What should an agency check before buying or rolling out an AI tool?
Start with a defined mission need and a bounded evaluation, not a product name. GSA recommends identifying the problem and considering a testbed, sandbox, or pilot before broad deployment. For a cloud service, the review should address the exact offering and intended use. GSA’s buying guidance and FedRAMP’s agency-use guidance provide the relevant starting points.
- Define the task and requirements. Specify what the AI should do, how success will be assessed, what information it will process, and what limits apply. Requirements should support competition and avoid unnecessary vendor lock-in.
- Test on a limited basis. Use an appropriate sandbox, testbed, or pilot before scaling. Set boundaries for the information and users involved, and involve agency IT security early.
- Determine FedRAMP scope. Assess whether the service handles federal information on the agency’s behalf and whether the planned use falls within the program, considering the service, data, administration, integrations, and expected users.
- Verify the exact offering and review its package. Confirm that the service version and offering under consideration match the relevant certification. Review the certification type and class, inherited controls, provider responsibilities, secure configuration guidance, and ongoing monitoring data. FedRAMP’s agency rules explain the applicable agency processes: FedRAMP agency rules.
- Assess the agency’s own controls and risk. Consider information sensitivity, access and administrative controls, integrations, data separation, agency-operated responsibilities, interoperability, and exit or portability needs. The agency authorizing official makes the system-specific risk decision.
- Coordinate procurement and governance. Bring in acquisition, legal, privacy, security, and procurement officials as appropriate, and document the intended configuration, controls, and authorization decision.
Can federal employees use ChatGPT at work?
It depends on the service offering, the agency’s authorization, and the intended use. FedRAMP’s AI page says that ChatGPT Enterprise and API Platform by OpenAI, and Gemini for Government by Google, received FedRAMP Certification in early 2026. That status is not a general permission for employees to use any version of those products, nor does it establish that a particular agency deployment is suitable. Agencies should verify the exact authorized offering, certification package, and scope, then follow their own policies and authorization decisions. Check FedRAMP’s AI page and agency-use guidance.
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Certification status, service offerings, and procurement terms can change. Enterprise features cited in FedRAMP’s prioritization criteria include SSO, SCIM provisioning, role-based access control, and real-time analytics, as well as data separation and customer control over model training. Those criteria do not, on their own, certify a specific configuration or authorize an agency’s use.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What do federal agencies’ AI adoption figures show?
A July 2025 Government Accountability Office (GAO) report found that reported generative AI use cases among 11 selected agencies with inventories increased from 32 in 2023 to 282 in 2024. Across those same selected agencies, all reported AI use cases rose from 571 to 1,110. These are figures for the 11 agencies GAO reviewed, not a count of use across every federal agency. See GAO-25-107653.
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Can an agency pilot a cloud service that is not fully FedRAMP-authorized?
There is a time-specific path described in OMB Memorandum M-24-15 for piloting certain cloud services that do not yet have full FedRAMP authorization. The memorandum states a ceiling of twelve months and anticipates further procedures from FedRAMP. It should not be read as permission for every agency to pilot any uncertified service. Agencies should confirm current implementing rules and coordinate with FedRAMP and their own officials before relying on this path. Read OMB M-24-15.
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