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Polygraf AI · Government2 min read

Government agencies get a new way to buy AI safety tools

Polygraf AI's tools, which screen what staff type into AI chatbots, can now be bought by public agencies through Carahsoft and existing government contracts.

By the Dashline deskSource: markets.businessinsider.com
Government agencies get a new way to buy AI safety tools
Photo: Gryffindor, Public domain

Polygraf AI, a software company in Austin, Texas, has teamed up with Carahsoft, a government technology reseller in Reston, Va. Announced on Nov. 2, 2026, the deal lets public sector buyers purchase Polygraf's AI security tools through contracts they already use. Carahsoft will act as its Master Government Aggregator, meaning it is the main seller to government.

What it does

Polygraf's main product is called the AI Behavioral Control Plane. It checks what people send to AI tools and what the tools send back. It can find and black out sensitive details, such as personal information, before they are shared or processed by an AI system. It also keeps records of AI use and can flag AI-generated or synthetic content.

It can run on an organization's own servers, in a private cloud or fully offline. That matters for groups with strict rules about where data may sit. The company says it runs on standard computer chips and does not need specialized AI hardware.

How agencies can buy it

  • NASA SEWP V contracts NNG15SC03B and NNG15SC27B
  • TIPS Contract #220105
  • OMNIA Partners Contract #R240303
  • Carahsoft's network of reseller partners

What is not known yet

The announcement does not name any agency using the tools. It gives no prices. The performance claims, including how fast the software acts on a request, come from the company, and no outside testing is mentioned. Businesses that work with government may see tighter rules on staff AI use, but this announcement sets no such rules itself.

The takeaway

Government buyers now have an easier path to tools that limit what staff share with AI, though prices and real-world results are not yet public.

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