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Regulated environments

Built for environments where offline is the requirement.

Defense programs, controlled manufacturing, and compliance-owned AI programs need AI that does not casually send material outside the boundary. adapterOS is built for offline deployments where the device is the perimeter.

Architectural alignment only. Nothing on this page is a certification claim or an attestation of compliance.

The four questions a boundary owner asks

Answers stated as capability and process, so your security review can test them instead of trusting them.

Can it run without routine egress?

adapterOS is designed to stay inside the environment: a local runtime over mounted sources, without depending on outside AI services in restricted networks.

What evidence do reviewers get?

Source-linked answers, visible limits when support is incomplete, and a readable work record a security or compliance team can inspect.

How does AI use stay visible?

Scoped workspaces and controlled configuration keep the work a reviewable process instead of a black-box chat session.

What about local perimeter risk?

Offline does not eliminate risk — the device becomes the boundary. Supply chain, update distribution, and local hardening are treated as first-order concerns.

Defense primes and integrators

Programs where data-sovereignty rules decide which tooling is allowed near controlled material at all.

CMMC- and ITAR-minded suppliers

Facilities where offline operation is non-negotiable and audit evidence is a proof obligation, not a preference.

Compliance-owned AI programs

Teams that already wrote the AI policy and now need evidence the policy was followed on real work.

How alignment is stated here

CMMC and ITAR are named as design-alignment targets: on-premises deployment supports facility-boundary requirements, and receipts give reviewers evidence they can defend.

These are source-boundary commitments, not certifications, attestations, or legal guarantees. The pilot review names the records, handling rules, reviewer duties, and success criteria before sensitive work starts.

Bring a regulated question and its records

A strong first pilot starts with approved records inside your boundary, a question that matters, and a reviewer who must defend the answer.