Publicagent E168 Natali 〈SECURE - 2025〉

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| Layer | Technology | Reason for Choice | |-------|------------|-------------------| | | Progressive Web App (PWA) + native mobile SDKs (iOS/Android) | Cross‑platform consistency, offline caching. | | Conversational Engine | Hybrid model: OpenAI‑GPT‑4.5 for generative text + proprietary intent‑classifier (TensorFlow) | Balances creativity with deterministic compliance. | | Knowledge Management | GraphDB (RDF store) with a custom Civic Ontology (based on schema.org and DCAT) | Enables semantic linking of policies, permits, and events. | | Integration Middleware | Apache Kafka for event streaming; Spring Boot micro‑services for RESTful APIs | Loose coupling with legacy municipal systems (e.g., SAP‑based finance, Esri GIS). | | Security & Auditing | OAuth 2.0 with OpenID Connect; audit logs stored in immutable Ledger (Hyperledger Fabric) | Meets ISO 27001 and GDPR‑style auditability. | All of them share a similar "pseudo-amateur" documentary

| Area | Feature in PublicAgent e168/Natali | |------|-----------------------------------| | | All model inference and storage can be confined to on‑premise hardware; no data leaves the jurisdiction unless explicitly permitted. | | Audit Trail | Every user interaction is logged with immutable hashes (SHA‑256) and timestamps; logs are write‑once‑read‑many (WORM) in Azure Blob or AWS S3 Glacier. | | Risk‑Based Controls | The Policy Engine automatically triggers a “human‑review” flag for any request that matches a high‑risk pattern (e.g., mention of self‑harm). | | Model Explainability | Integrated LIME/SHAP visualizations for operators to see why the AI suggested a particular response, satisfying emerging “right to explanation” statutes. | | Pen‑Testing | PublicAgent ships with a CI‑integrated security‑testing suite (OWASP ZAP, Bandit, RustSec) that runs on every code push. | | AI‑Governance | Pre‑built templates map the EU AI Act’s “high‑risk” criteria to configuration settings (e.g., mandatory logging, post‑deployment monitoring). |