Sovereign, in-VPC governance for agency and campus AI.
Government agencies and educational institutions operate under stricter data sovereignty requirements than any other sector. 2Trust.AI deploys fully inside your cloud — or air-gapped — so AI governance never requires trusting a third-party SaaS with controlled, sensitive, or student data.
Public sector AI must be sovereign before it can be useful.
Data residency & sovereignty
Federal agencies, state governments, and universities can't send CUI, PII, or student records to commercial AI APIs without explicit authority to operate. Standard SaaS AI governance tools create exactly that exposure.
Procurement & ATO complexity
Agencies need to demonstrate that AI tooling is authorized, risk-assessed, and mapped to NIST AI RMF before deployment. Most AI providers can't produce the evidence artifacts needed for an ATO package.
FERPA and student data
Universities deploying AI for admissions, advising, or research face FERPA obligations that most AI providers haven't been designed around. Student data in AI prompts is a compliance problem with no off-the-shelf solution.
Govern AI on your infrastructure, under your authority.
Full data sovereignty
Deploy entirely inside your GovCloud, on-premises data center, or air-gapped environment. No data transits 2Trust infrastructure. Nothing leaves the boundary you define. Supports Docker, Kubernetes, and AWS GovCloud.
FIPS 140-2 ready
Cryptographic operations use FIPS 140-2 validated modules throughout the data path. Encryption at rest and in transit satisfies FedRAMP Moderate and DoD IL4 baseline requirements for AI tooling.
ATO-ready documentation
Governance wizards produce structured risk assessments mapped to NIST AI RMF 1.0 functions — GOVERN, MAP, MEASURE, MANAGE. Output feeds directly into ATO packages, SSPs, and OMB AI use case inventories.
Student data protection
Pre-built FERPA disallowed lists strip student identifiers — names, IDs, grades, disciplinary records — before prompts reach any model. Configurable per department and per use case within the university.
Commercial AI optional
Run FP16/INT8 quantized open models locally for classified or sensitive workloads. 2Trust governs local models identically to commercial APIs — same filters, same logs, same risk scoring — with zero external API calls.
Congressional & IG ready
Immutable, encrypted logs exportable for Inspector General reviews, congressional inquiries, and FOIA requests. Retention policies configurable per records management schedule. Chain-of-custody preserved.
Need sovereign AI governance?
We work with agency contracting teams, university IT offices, and system integrators. Let's talk about your environment and authority to operate requirements.
Book a demo