AI in the Public Sector: Secure and GDPR-Compliant Deployment

Why Public Sector AI Is Unique

Public sector organizations process data belonging to millions of citizens — from registration records and tax information to social benefits applications, health data, and security-related information. Public trust in the responsible handling of this data is a cornerstone of democratic governance. A data breach or compliance failure carries not just legal consequences but political ones as well.

At the same time, government agencies face immense pressure to modernize. Germany's Onlinezugangsgesetz (OZG — Online Access Act) obliges federal, state, and municipal authorities to offer their services digitally. AI can significantly accelerate this transformation — provided its deployment is secure, transparent, and legally compliant.

The challenge lies in the combination of high security requirements, constrained IT budgets, and the political sensitivity of the topic. While private-sector companies primarily fear financial penalties for data protection violations, government agencies risk losing public trust — a commodity that, once lost, is exceedingly difficult to restore.

Use Cases: AI as a Modernization Driver

Citizen Service Automation

From answering frequently asked questions to assisting with application procedures and multilingual communication — AI can substantially improve citizen services. Chatbots can provide round-the-clock responses to simple inquiries, while complex matters are escalated to case workers. This reduces staff workload and shortens wait times for citizens.

Document Processing

Government agencies process enormous volumes of documents daily: applications, official notices, appeals, internal memoranda. AI can classify these documents, summarize them, and extract relevant information. Automated document processing is one of the most promising AI use cases in public administration, as it immediately saves time and reduces processing cycles.

Translation Services

In an increasingly diverse society, agencies must communicate with citizens who speak different languages. AI-powered translation systems can translate forms, official notices, and informational materials into numerous languages — faster and more cost-effectively than human translators, although human quality control remains necessary for official documents.

Internal Knowledge Management

Government organizations hold vast knowledge bases: legislation, administrative regulations, internal policies, guidance documents. AI can help employees find relevant information quickly, identify connections, and navigate regulatory frameworks. This is particularly valuable for onboarding new staff and handling complex legal questions.

Regulatory Landscape

GDPR — Heightened by Public Interest

Government agencies are subject to the same GDPR requirements as private companies — in practice, however, expectations are higher. Supervisory authorities scrutinize public bodies more closely, as they serve as role models. The legal basis for data processing by public authorities typically derives from Art. 6(1)(e) GDPR (performance of a task in the public interest), which requires careful balancing and documentation.

BSI IT-Grundschutz

Germany's Federal Office for Information Security (BSI) defines the security standard for public administration through the IT-Grundschutz Compendium. Federal agencies are required to implement IT-Grundschutz; for state and municipal authorities, it serves as the recommended standard. IT-Grundschutz encompasses comprehensive information security requirements that must be fully considered when introducing AI systems.

IT Security Act 2.0

The IT-Sicherheitsgesetz 2.0 expands BSI's authority and tightens IT security requirements for federal agencies and operators of critical infrastructure. For AI deployment in government, this means: stricter incident reporting obligations, expanded audit powers for BSI, and higher requirements for supply chain security.

OZG (Online Access Act)

The OZG drives the digitization of public administration. AI can play a key role — for example, in intelligent form evaluation, automated application processing, or digital citizen consultation. However, OZG implementation must be GDPR-compliant, which further raises the bar for AI providers.

EVB-IT Contracts

IT procurement in public administration frequently follows the Ergänzende Vertragsbedingungen für die Beschaffung von IT-Leistungen (EVB-IT — Supplementary Contract Terms for IT Procurement). AI providers must be able to offer their services within this framework — including requirements for warranties, liability, and data protection.

German Infrastructure — Not Just EU, but Germany

Why Many Agencies Require German Soil

For numerous government agencies, EU-based processing is not sufficient. Federal agencies, security authorities, and administrations handling VS-NfD classified material (Verschlusssache — Nur für den Dienstgebrauch, roughly equivalent to "Restricted") require data processing on German soil. The reasons are compelling:

• Legal clarity: German law applies without qualification, with no room for interpretive ambiguity across different national legal systems within the EU.
• Regulatory accessibility: German supervisory authorities have direct access to domestic data centers.
• Political acceptability: Processing citizen data on German soil is far easier to justify politically.
• No US parent company: A central criterion for many agencies is that no US-based company appears in the processing chain — since US laws such as the CLOUD Act potentially enable access to data held by EU subsidiaries.

Layermod offers IONOS infrastructure in Berlin that meets this requirement: 100 percent German processing, with no US parent company in the chain.

BSI C5 and Its Significance for Cloud Services

The BSI's Cloud Computing Compliance Criteria Catalogue (C5) defines minimum security requirements for cloud services. For federal agencies, a C5 attestation is increasingly a prerequisite for using cloud-based services — including AI APIs. State authorities are also increasingly aligning with the C5 catalogue.

VS-NfD Considerations

For agencies working with classified material at the VS-NfD level, additional requirements apply beyond BSI-Grundschutz. AI deployment in this context requires specially approved infrastructure and strict access controls. While not every government AI application involves classified material, the underlying infrastructure should be fundamentally capable of supporting higher protection levels when needed.

Security Requirements

No US Parent Company in the Chain

This criterion cannot be emphasized enough. US laws such as the CLOUD Act and FISA Section 702 enable US authorities to compel US companies to hand over data — even when stored on servers within the EU. For agencies processing citizen data, this represents an unacceptable risk. Layermod is a European company with no US parent corporation.

End-to-End Encryption and Zero Data Retention

All AI requests must be encrypted in transit (TLS 1.3). Beyond this, strict zero content storage is essential: no prompts, no responses, and no temporary files may persist after processing.

Strict Access Controls

Access control must follow the need-to-know principle. Each organizational unit — whether division, department, or office — receives its own API keys with individual permissions. Administrative access to the AI infrastructure must be secured through multi-factor authentication.

Implementation Guide

Step 1: Ensure Processing on German Soil

Choosing the right infrastructure provider is the first and most critical step. Verify:

• Where are the AI provider's data centers located?
• Is there a German location — not just EU?
• Who operates the data centers? Is there a US parent company?
• Which subprocessors are involved?

Layermod processes all requests through its IONOS Berlin location, operated by a German company with no US parent.

Step 2: Implement Strict Access Controls

Define access rights along your organizational structure:

• Separate API keys per organizational unit
• Model restrictions based on use case and protection requirements
• Rate limiting to prevent misuse
• Audit logging of all access (metadata only, no content)

Layermod provides organizational structures and RBAC capabilities to implement these requirements at a granular level.

Step 3: Procurement-Friendly Pricing

Procurement in public administration follows its own rules. Complex usage-based billing models complicate budget planning and procurement processes. Layermod's credit-based pricing model is procurement-friendly: credits can be purchased in advance, costs are predictable, and billing is transparent and traceable — ideal for budget planning and EVB-IT-compliant procurement.

Layermod for the Public Sector

The public sector needs an AI access provider that understands and technically addresses the unique requirements of government organizations. Layermod offers:

• 100 percent German infrastructure: Processing via IONOS Berlin — German provider, no US parent company
• Zero data retention: No storage of prompts or responses — citizen data stays protected
• BSI-compatible security: Encryption, access controls, and audit logging aligned with BSI-Grundschutz requirements
• Granular access control: RBAC by organizational unit, team, and project through the Layermod platform
• OpenAI-compatible API: Simple integration into existing government IT systems and e-government platforms
• Procurement-friendly: Credit-based pricing model for predictable costs and straightforward procurement
• No vendor lock-in: Access to all leading AI models through a single API

Planning to deploy AI in your government organization? Learn more about our public sector solutions or contact us for a no-obligation consultation.