As the federal government races toward Zero Trust compliance by FY27, agencies are confronting a sobering truth: traditional perimeter-based defenses are no longer enough. Protecting the network isn’t sufficient when the most valuable target — your data — can be copied, moved, or shared beyond your control.
To meet these evolving threats head-on, 2 Twelve Solutions, in collaboration with XQ Message, has developed a groundbreaking Zero Trust Artificial Intelligence (ZTAI) Platform that brings Zero Trust principles directly to the data layer — where it matters most.
The Challenge: Data Aggregation and AI Risk
AI systems are transforming how agencies process and interpret information. But this transformation comes with a hidden cost.
When multiple datasets — from sensors, intelligence systems, or mission operations — are combined into one AI model or data lake, their aggregated intelligence becomes exponentially more sensitive. A breach of that data isn’t just a security incident — it’s a national risk.
Compounding the problem, AI systems themselves have become the ultimate data depots. They ingest, process, and generate massive volumes of sensitive information. Without strict data-layer protection, these systems become prime targets for espionage and cyber theft.
The Solution: Zero Trust AI for Sensitive and Classified Data
The Zero Trust AI Platform provides an end-to-end secure architecture for deploying AI in air-gapped, classified, or coalition environments.
At its core lies the Zero Trust Data Layer, powered by XQ Message, which encrypts every data object with a unique encryption key. This approach enforces granular, just-in-time access controls that verify:
- Only authorized AI models can read sensitive input data.
- Only cleared users can view or act on AI outputs.
Even technical operators who manage the systems cannot view the data itself. Domain experts gain access only when explicitly authorized — and access can be revoked in real time.
Key Capabilities
1. AI Protection Inside Air-Gapped Networks
Supports GPT-OSS, xAI’s Grok-1, and other large models within isolated, classified environments — no internet connectivity required.
2. Granular Policy Enforcement
Every transaction is bound by strict policy governance under XQ’s Zero Trust control layer, ensuring compliance and accountability at every step.
3. Crypto-Agile and Post-Quantum Ready
The platform supports current and future cryptographic standards, including AES and Falcon, ensuring security against emerging post-quantum threats.
4. Seamless Enterprise Integration
Built with Kubernetes orchestration, the platform integrates with Red Hat Keycloak for identity management, Apache Guacamole for session recording, and existing SIEM and compliance tools for full situational awareness.
Built for Federal Mission Needs
Hosted on a hardened on-premise platform, the Zero Trust AI solution can be delivered directly into a classified enclave or operated as an overlay across coalition or mixed-network environments.
2 Twelve’s End-to-End Engineering (E3™) Laboratory in Reston, VA — a Tier 3 datacenter supporting the U.S. Navy, DHS, and FAA — provides the foundation for full lifecycle delivery, from design to deployment to after-action review.
Why It Matters
- Simplified Zero Trust compliance: Protect the data, not just the infrastructure.
- Operational resilience: Maintain data sovereignty in complex coalition and AI environments.
- Mission continuity: Enable secure collaboration and data sharing across diverse, high-security networks.
The Race Track to Innovation
With the Zero Trust AI Platform, agencies don’t need to rebuild their networks to achieve Zero Trust compliance — they can start protecting mission-critical data today.
By merging 2 Twelve’s engineering expertise with XQ’s Zero Trust Data technology, this solution represents a decisive leap forward in securing the AI systems that power modern national defense.
Contact:
🌐 https://2twelvesolutions.com
Frequently asked questions
Why does aggregating data for AI create extra risk for federal agencies?
Aggregating data for AI creates extra risk because combined datasets become far more sensitive than any single source. When data from sensors, intelligence systems or mission operations is merged into one AI model or data lake, a breach becomes a national risk rather than a routine security incident. AI systems also act as data depots, ingesting and generating large volumes of sensitive information that attract espionage.
What is the Zero Trust AI Platform from 2 Twelve Solutions and XQ?
The Zero Trust Artificial Intelligence (ZTAI) Platform is an end-to-end secure architecture, developed by 2 Twelve Solutions in collaboration with XQ, for deploying AI in air-gapped, classified or coalition environments. It runs on a hardened on-premise platform that can be delivered into a classified enclave or operated as an overlay across mixed networks, and it supports large models such as GPT-OSS and xAI's Grok-1 without internet connectivity.
How does XQ's Zero Trust Data Layer control access to AI inputs and outputs?
XQ's Zero Trust Data Layer encrypts every data object with a unique key and enforces granular, just-in-time access controls. Only authorized AI models can read sensitive input data, only cleared users can view or act on AI outputs, and even technical operators who manage the systems cannot view the data. Domain experts gain access only when explicitly authorized, and access can be revoked in real time.
Is the Zero Trust AI Platform ready for post-quantum cryptography?
Yes, the Zero Trust AI Platform is crypto-agile and supports current and future cryptographic standards, including AES and Falcon, to address emerging post-quantum threats. It is built on Kubernetes orchestration and integrates with Red Hat Keycloak for identity management, Apache Guacamole for session recording, and existing SIEM and compliance tools for situational awareness.