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AI Governance for Government & Public Sector

National security classifications, sovereign data requirements, and zero tolerance for data spillage. Government agencies need AI to modernise public services - but cannot accept any risk of sensitive information reaching external systems. WalledAI deploys entirely within your sovereign infrastructure - no external dependencies, no internet required.

100%

Air-gapped deployment capability

0

External dependencies required

Multi-Level

Security classification enforcement

Trusted By

Amazon partner logo
NVIDIA partner logo
Google partner logo
IMDA Singapore partner logo
SUTD academic partner logo
Amazon partner logo
NVIDIA partner logo
Google partner logo
IMDA Singapore partner logo
SUTD academic partner logo

The Challenge: Modernisation vs. Sovereignty

140+

Countries with data localisation laws

UNCTAD, 2024

18 mo

Avg. gov procurement cycle for AI

Industry estimate

Zero

Tolerance for classified data spillage

Standard policy

Government agencies worldwide face a paradox: citizens expect modern, AI-powered digital services, but government data - from citizen records to national security intelligence - cannot leave sovereign boundaries. Commercial AI tools are built for the cloud. Government needs AI that works in the bunker.

The Sovereign Data Imperative

Government data is subject to classification systems (Secret, Top Secret, Restricted, etc.) that have no commercial equivalent. A classified document fragment in an AI prompt doesn't just violate policy - it can compromise national security, endanger operatives, and breach international intelligence-sharing agreements.

Cross-Border Data Flow Prohibitions

Many nations have strict data localisation laws: citizen data cannot leave the country. Period. When a civil servant uses ChatGPT to draft a response about a citizen's tax query, that citizen's data crosses international boundaries. For governments with data sovereignty requirements, commercial AI is structurally incompatible.

Air-Gapped Deployment

WalledAI deploys entirely within your sovereign infrastructure - government cloud, on-premise data centres, or fully air-gapped environments with zero internet connectivity. No data leaves your perimeter. No external API calls. No cloud dependencies. Full AI governance without any external trust.

Sovereign Deployment

Your Infrastructure. Your Control.

Deploy 100% on-premise or in government-approved cloud - air-gapped capable with zero external dependencies.

WalledAI deployment models - on-premise, private cloud, and hybrid for government

Flexible deployment: on-prem, sovereign cloud, or air-gapped

WalledAI Governance Dashboard - compliance monitoring for government agencies

Audit-ready governance evidence for regulatory oversight

Who Benefits - And How

Chief Information Officer (Government CIO)

The Pain

You're tasked with digital transformation while maintaining the strictest security posture in any sector. Every AI initiative requires security clearance, inter-agency coordination, and procurement cycles that can take 18+ months.

With WalledAI

WalledAI's single governance layer approach means one security review, one procurement cycle, one deployment - then every agency can use any approved LLM through the governed gateway. Model-agnostic architecture means you're never locked into a single AI vendor. Switch models as technology evolves without re-doing security reviews.

Governance DashboardEnterprise RBAC

Chief Information Security Officer (Government CISO)

The Pain

You manage data across multiple classification levels. A single spillage event - classified data reaching an unclassified system - triggers mandatory reporting, damage assessments, and potentially criminal investigations. AI tools are classification-agnostic by default.

With WalledAI

Multi-level security classification enforcement. Define classification policies (Unclassified, Restricted, Confidential, Secret, Top Secret) that WalledAI enforces at the prompt level. Upload your risk policies directly. Every interaction is logged with classification level, user clearance, and masking actions. Zero possibility of classified content reaching an external system in air-gapped mode.

Data ClassificationGovernance Dashboard

Agency Heads / Permanent Secretaries

The Pain

Your staff are overwhelmed with administrative burden. AI could free them to focus on public service delivery. But you're responsible if a data breach becomes front-page news and erodes public trust in government.

With WalledAI

Enable AI for your entire agency with enterprise controls. Quarterly board-level reports showing: total AI interactions governed, data categories protected, classification compliance, and productivity gains. Evidence for parliamentary/congressional oversight committees that AI is being used responsibly.

Governance Dashboard

Intelligence Analysts

The Pain

You analyse vast quantities of open-source intelligence and need AI for pattern recognition, summarisation, and report drafting. But your analysis products are classified, and your sources and methods are the most closely guarded secrets in government.

With WalledAI

Air-gapped deployment means zero internet connectivity. Your AI assistant runs entirely within the classified network. Source identifiers, operational details, and analytical conclusions never leave the secure environment. RBAC maps to security clearance levels - analysts can only use AI at their cleared classification level.

Walled RedactEnterprise RBACData Classification

Policy Officers

The Pain

You draft policy papers, analyse regulatory impact, and coordinate across agencies. AI could accelerate policy development - but draft policy positions are politically sensitive. Early disclosure could move markets, influence lobbying, or compromise negotiating positions.

With WalledAI

Draft documents classified as restricted. Agency names and policy positions masked when using AI for drafting assistance. AI helps with structure, analysis, and drafting quality without knowing the actual policy direction. Full audit trail demonstrates responsible AI use for accountability requirements.

Walled RedactData Classification

IT Operations & Shared Services

The Pain

You support multiple agencies with shared infrastructure. Each agency has different classification requirements, different data handling policies, and different user populations. Managing AI governance per agency is operationally unscalable.

With WalledAI

Multi-tenant architecture with agency-level isolation. Each agency gets its own RBAC policies, data classifications, and governance rules - all managed through a central Governance Dashboard. Shared infrastructure, independent governance. One team manages the platform; each agency controls its own policies.

Enterprise RBACGovernance Dashboard

100% sovereign. Zero external dependencies.

WalledAI deploys fully air-gapped within your government infrastructure. No internet required. No cloud dependencies.

Use Cases Across Government

Modernise public services with governed AI

From citizen services to intelligence analysis - see how WalledAI enables every government function.

Responsible AI Alignment

Part of the Governance Pillar of Responsible AI

National data sovereignty and zero-tolerance for data spillage demand the highest governance standards. WalledAI addresses the governance pillar of Responsible AI - deployable within sovereign, air-gapped infrastructure with full security, privacy, and safety controls.

Reliability
Safety
Privacy
Security

Sovereign AI governance for the public sector

WalledAI deploys within your sovereign infrastructure - air-gapped, on-premise, zero external dependencies.

Frequently Asked Questions

Can WalledAI be deployed in air-gapped environments?

Yes. WalledAI supports fully air-gapped deployment with zero external dependencies. All governance processing happens within your secured network perimeter, making it suitable for classified and sensitive government environments.

How does WalledAI support government AI transparency requirements?

The Governance Dashboard provides complete visibility into every AI interaction - who queried, what data was involved, what was masked, and what the output was. This supports Freedom of Information Act (FOIA) compliance, audit requirements, and inter-agency oversight mandates.