Sovereign AI infrastructure inside the agency's authorized environment. Air-gapped support for high-side workloads. Source-code ownership for continuity when commercial vendors are sanctioned, acquired, or change priorities.
Federal AI deployments in 2026 have to satisfy a stack of compliance frames — FedRAMP, FISMA, CMMC, OMB M-24-10 and successors, NIST AI RMF, and a hardening supply-chain expectation — against documented evidence rather than vendor marketing material.
Most federal AI procurement is still attempting to satisfy the stack with commercial FedRAMP-authorized SaaS. That path works for some workloads. It doesn't survive the supply-chain conversation when the agency needs to attest to model provenance, training-data lineage, and software-bill-of-materials at depth.
ibl.ai is the platform layer that lets a federal agency deploy AI inside its authorized environment, with local-model inference for sensitive workloads, frontier-API routing when FedRAMP authorization covers the use case, and an audit chain the agency owns end to end.
Federal agencies increasingly need to document where model weights come from, who trained the model, what the training data was, and what the inference software's dependency chain is. Commercial frontier vendors answer some questions, not all.
OMB and EO guidance has hardened supply-chain documentation expectations over the last 24 monthsA FedRAMP-authorized AI service satisfies the cloud-authorization layer but does not automatically satisfy FISMA scope expansion, CMMC for DoD work, OMB use-of-AI requirements, or NIST AI RMF integration.
Agencies routinely face audit findings on AI deployments that have FedRAMP authorization but lack integrated FISMA, CMMC, OMB, and NIST evidenceSecret, Top Secret, IL5, IL6, and similar high-side workloads require AI infrastructure with no external connectivity. Most commercial AI services are not deployable in this topology.
DoD IL6 environments cannot run commercial SaaS AI; intelligence-community workloads have similar constraintsSanctions on a foreign-owned vendor, acquisition of a US vendor by a foreign entity, or commercial pivots can interrupt operational AI workflows mid-mission.
Multiple commercial AI vendors have faced changes that triggered federal continuity reviews in the last 18 monthsFedRAMP-authorized SaaS captures audit events in vendor dashboards. Agency audit-of-record systems need evidence in agency formats on agency schedules.
Agencies cannot defensibly produce FISMA evidence for AI deployments where the audit lives in a vendor's interfaceThe platform deploys inside the agency's existing FedRAMP Moderate or High environment (Azure Government, AWS GovCloud, Google Government Cloud), or inside an agency-specific authorized environment. No new authorization needed for the cloud layer.
Air-gapped deployment is a supported topology with no external connectivity. Model serving, inference routing, audit logging, and identity federation all function with no external dependencies — for Secret, Top Secret, IL6, and compartmented workloads.
Local inference on open-weights models (Llama, attested Mistral variants, Qwen with provenance documentation) where the agency can document the lineage end to end — what commercial frontier APIs frequently cannot match.
Every prompt, response, and model invocation captured in the agency's audit-of-record SIEM in the agency's format on the agency's retention schedule — satisfying FISMA, OMB, and audit-readiness expectations.
PIV/CAC integration, SAML 2.0, OIDC for ICAM-aligned identity federation. Every AI session bound to a named federal employee or contractor. No personal accounts for agency work.
The platform code is the agency's under a perpetual license. Vendor sanctions, acquisitions, or pivots do not interrupt operational AI. Continuity is architectural, not contractual.
Agency CIO, CISO, and authorization team align on the deployment topology, the FedRAMP/FISMA/CMMC authorization boundary, the model-provenance posture, and the first workload. NIST AI RMF mapping started.
Platform installed inside the agency's FedRAMP-authorized cloud environment or air-gapped network. PIV/CAC identity federation live. SIEM streaming integrated with the agency's audit-of-record system. Local-model inference operational on agency GPUs.
First mission workload running on the platform with the full authorization, audit, and identity posture in place. NIST AI RMF integration complete. OMB use-of-AI documentation in place. ATO package updated.
Additional workloads brought onto the platform. Agency engineering team trained to operate independently. Forward-deployed engineering hand-off complete. Pattern documented for replication across the agency.
Stand-alone FedRAMP-authorized commercial SaaS, separate from agency-specific authorizations.
Deployed inside the agency's existing FedRAMP-authorized environment, with FISMA, CMMC, OMB, and NIST evidence integrated.
Vendor-attested supply chain; partial agency visibility.
Open-weights model provenance documented end to end; inference software owned by the agency.
Commercial AI unavailable for Secret, Top Secret, IL5, IL6 workloads.
Air-gapped deployment supported for the full classification spectrum.
Vendor dashboards, vendor formats.
Agency SIEM, agency formats, agency retention.
Vendor sanctions, acquisitions, or pivots interrupt operational AI.
Source-code ownership preserves operational continuity regardless of vendor changes.
The deployment topology for Secret, Top Secret, IL5, IL6, and compartmented workloads — local-model inference on agency GPUs in an isolated network.
The platform that runs inside the agency's authorized environment, supports air-gapped deployment, and produces the inventory, audit, and identity evidence federal authorization frameworks require.
The engineering team that lands the first deployment under the agency's authorization boundary and supports the air-gapped or high-side deployment process.
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