Industries · Government

AI governance architected for the control expectations
federal and public-sector buyers already have.

Cortega deploys entirely inside your infrastructure, including fully air-gapped environments, so nothing about your AI traffic routes through a Cortega-hosted cloud. We're direct about where our compliance program stands today and what's still on the roadmap.

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What public-sector AI programs are running into

Compliance obligations are compounding faster than most programs can absorb.

FedRAMP applies to AI services, too

Cloud-delivered AI services used by federal agencies generally require FedRAMP authorization at Moderate or High, depending on impact level.

CMMC deadlines are compounding with AI controls

DoD contractors face a November 2026 deadline for CMMC Level 2, alongside incoming AI-specific controls layered on top.

CUI requires the highest bar

Systems processing Controlled Unclassified Information generally need FedRAMP High and alignment with NIST SP 800-171 Revision 3.

Shadow AI is a compliance failure here, not just a policy gap

Staff using unapproved AI tools on systems that touch CUI or federal data puts an entire assessment at risk.

What Cortega does for government and public-sector teams

Architecture-first controls, with honest gaps where they still exist.

On-premises and air-gapped deployment

Cortega runs entirely inside your environment, including fully disconnected, air-gapped setups where nothing ever leaves your network.

Model, provider, and MCP tool access control

Approve exactly which models, providers, and MCP tools each team or system can call, with no default access to unapproved AI.

Deterministic sensitive-data detection

Local, rule-based detection and redaction for PII and payment data, enforced before a request completes. CUI-specific detection is not yet available; see below.

Continuous, tamper-evident audit evidence

A hash-chain-verified record of every policy decision, generated as agents operate. This is the kind of continuous evidence NIST-aligned oversight expects.

Approval tracking on high-stakes actions

High-stakes or irreversible actions get a documented, identity-attached approval decision, visible in your audit trail.

Shadow AI discovery

Cortega EdgeSafe finds unapproved AI tools running on staff endpoints, before they become the reason a system fails an assessment.

Built for regulated industries

Governance controls mapped to the frameworks your assessors already ask for, and a direct answer on what isn't there yet.

What's included today

  • On-premises and air-gapped deployment options: nothing routes through a Cortega-hosted cloud.
  • Deterministic PII/PCI detection, not a probabilistic best guess.
  • Continuous, tamper-evident audit evidence.
  • Approval decisions tracked on high-stakes actions, with full audit trail.
  • Model, provider, and MCP tool access control by role.

What we're building toward

  • CMMC 2.0 and FedRAMP Moderate third-party assessment, not yet completed.
  • A purpose-built CUI classifier. Today's detection covers PII and payment data, not CUI-specific patterns.
  • Governance controls aligned to NIST AI RMF, NIST SP 800-171, and ISO/IEC 42001.

Governing AI in a federal or public-sector environment?

Tell us what's in scope, whether that's mission systems, contractor networks, or agency staff AI use, and we'll show you exactly where Cortega fits today and what's still on the roadmap.

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