eGovernment DLT / Blockchain Platform with AI and Zero Trust
PiR2-IT designed and developed an eGovernment platform prototype that combines Distributed Ledger Technology (DLT) with advanced AI-enabled services, a Zero Trust security model, and end-to-end auditability. The system acts as a Single Point of Trust for governance and evidence, while enabling secure communication with citizens and integrating with a broad portfolio of electronic public services.
Prototype status
- Designed & developed by PiR2-IT as a prototype / demonstrator
- Currently in testing with iterative hardening and integration validation
- Focus: trust model, auditability, integrations, user communication, and security controls
What it enables
A trust-centric backbone for national-scale digital services, designed to improve integrity, transparency and user experience.
Single Point of Trust
Central governance layer for identity, policy enforcement, evidence, and service integrity—without centralizing data exposure.
Auditability by default
Immutable evidence trails for transactions, decisions and access—supporting oversight, compliance and dispute resolution.
Citizen communication
Transparent status, notifications and verifiable receipts—improving trust and reducing friction for users and institutions.
Broad service coverage
Designed to cover a wide portfolio of public services through modular capabilities and standardized integration patterns.
Interoperability
Interfaces for legacy and modern e-services (APIs/eventing), enabling end-to-end processes across institutions.
Zero Trust architecture
Continuous verification, least privilege, segmentation, and strong observability across users, services and suppliers.
AI capabilities (service-grade)
AI is applied to reduce burden, increase service quality, and support operational decision-making—under governance and audit constraints.
User-facing AI
- Guided digital journeys and intelligent forms (reduce errors, faster completion)
- Secure virtual assistance for service discovery and case status
- Proactive notifications and personalized next-best-actions (policy constrained)
Institutional AI
- Fraud/anomaly detection and integrity monitoring (supporting oversight)
- Case routing, prioritization and workload optimization
- Operational analytics and service-quality insights with explainability principles
AI outputs are designed to be reviewable and traceable, aligned to governance, auditability and data protection expectations.
Security, audit & operations
A platform designed to operate like a regulated system: controls, observability and evidence are first-class features.
Zero Trust controls
- Strong identity and continuous authorization
- Segmentation, least privilege, and policy-as-code patterns
- Secure communications and tamper-evident logging
Audit and transparency
- Immutable evidence trails and decision records
- Operational dashboards and compliance reporting
- Incident readiness and forensic support patterns
PiR2-IT is currently validating integrations, threat models, and audit workflows through iterative test cycles.