AI for CMMC, Designed for Federal Reality

FedRAMP-compatible AI architecture for CMMC compliance work

We never send CUI to the AI model. AI assists with policy drafting and questionnaire answers, grounded in your real compliance state.

AI for compliance is useful: drafting policies from your environment, answering security questionnaires with citations to your real state, scaffolding the SSP narrative. AI in federal contracting is also fraught. Sending CUI to a public LLM can violate DFARS, and most off-the-shelf AI features in horizontal GRC do exactly that. Readyline's AI architecture is designed for federal contracting realities: zero CUI to the model. Our standard SaaS calls the Anthropic API, where the model only ever sees compliance metadata (never CUI). For customers who require an authorized inference path, we deploy a sovereign single-tenant instance in your AWS GovCloud tenancy, where Claude on Amazon Bedrock holds FedRAMP High and DoD IL4/5 authorization. Air-gapped deployments run AI-disabled.

Talk to us See AI features

No CUI to the model · GovCloud Bedrock for sovereign deployments · Air-gapped runs AI-free

Why most "AI for compliance" features are unsafe for federal contractors

Three architectural shortcuts that fail federal contracting compliance.

CUI sent to public LLM endpoints

Most horizontal GRC AI features send the customer's data, sometimes including CUI, to a commercial LLM API. Where that data is CUI, DFARS 252.204-7012 requires it stay inside an authorized boundary, and putting CUI through an unauthorized endpoint can jeopardize your contract.

Commercial LLM endpoints aren't authorized

The commercial OpenAI and Anthropic APIs are not themselves FedRAMP authorized. Authorized inference paths do exist (Claude on AWS Bedrock GovCloud is FedRAMP High / IL4-5; Azure OpenAI carries a FedRAMP High authorization), but only if the vendor actually deploys there, and only matters if CUI is in play.

No air-gapped degradation

AI features that require outbound calls cannot deploy in air-gapped environments. Platforms that bake AI into the core (rather than as an optional layer) become unusable for primes preparing for L3.

How Readyline's AI architecture handles federal contracting

Six design choices that keep AI useful without violating contract.

No CUI to the LLM, ever

Readyline is a compliance tracking platform, not a CUI handler. The AI only sees what you intentionally feed it: policy templates, your control narratives, questionnaire questions. CUI artifacts (the data your CUI tools like PreVeil/Kiteworks handle) never enter the system.

FedRAMP High path for sovereign deployments

Standard Readyline SaaS calls the Anthropic API directly, and because we never send CUI to the model, that path is within DFARS bounds for the compliance metadata it processes. For customers who require an authorized inference boundary, we deploy a sovereign single-tenant instance in your AWS GovCloud tenancy, where Claude on Amazon Bedrock holds FedRAMP High and DoD IL4/5 authorization. On that path the inference layer inherits Bedrock's authorization.

Air-gapped = AI-disabled, gracefully

In air-gapped deployments, AI features are simply OFF. The rest of the platform (SSP, POA&M, risk register, evidence collection) works fully without AI. AI is a layer, not a dependency.

Grounded outputs with citations

AI policy drafts cite the specific NIST 800-171 controls they address. Questionnaire answers cite the specific evidence file they're grounded in. No hallucinated control numbers, no fabricated evidence.

Human-in-the-loop required

AI drafts policies, you review and approve. AI suggests questionnaire answers, you confirm. Nothing auto-applies to production state without a human approval log entry.

Prompts + responses logged per tenant

Every AI interaction is logged in the per-tenant database: who asked, what prompt, what response, when approved. Auditable trail for the C3PAO if AI assistance is part of your compliance workflow.

FAQ

FedRAMP-compatible AI questions

Precise questions deserve precise answers, no overclaiming here.

FAQ

No. Readyline is a compliance tracking platform, not a CUI handler. FedRAMP authorization applies to platforms that store or transmit CUI on behalf of federal customers. Readyline holds compliance metadata (control assessments, POA&M items, evidence files describing your compliance state), not the CUI itself. Your CUI tools (PreVeil, Kiteworks, Virtru, etc.) hold FedRAMP authorization where required.

It depends on the deployment, and we want to be exact here. Standard hosted Readyline calls the Anthropic API directly. That commercial endpoint is not itself FedRAMP authorized. That is acceptable on this path only because Readyline never sends CUI to the model; it sees compliance metadata (your control narratives, policy templates, questionnaire text), not CUI. For customers who require an authorized inference path, we offer a sovereign single-tenant deployment in your AWS GovCloud tenancy, where Claude on Amazon Bedrock holds FedRAMP High / DoD IL4-5; on that path the inference layer inherits Bedrock's authorization. In neither case does Readyline, as the orchestrating application, hold a separate FedRAMP authorization of its own.

Policy templates (NIST 800-171 control text, our prompt scaffolding), your control implementation narratives (the text you wrote describing how a control is met), and questionnaire questions you upload. The AI does NOT see CUI, customer files outside the platform, or anything from other tenants.

Yes. Per-tenant config flag. Some federal customers prefer AI-disabled even on hosted deployment: toggle it off, no calls go to the LLM at all. Air-gapped deployments ship with AI structurally disabled (not just toggled).

Today: just policy drafting + questionnaire assistance. Planned (Q3 2026): AI-assisted control gap explanation (read your narrative + suggest what's missing for the assessor). Same architecture: no CUI to the LLM, human-in-the-loop, per-tenant logged.

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30 minutes. Founder-led. No slides. Walk away with a clearer view of your CMMC posture, either way.

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