As organisations scale, data security becomes increasingly complex. Data now flows through spreadsheets, business systems, APIs, databases, dashboards, and AI tools - often across multiple teams and departments.
That creates a clear challenge: how do you make data accessible for reporting and decision-making while still keeping it secure, governed, and auditable?
At DataNova, our platform is built with enterprise-grade security and governance at its core. From data ingestion through to Power BI reporting, every layer is designed to protect sensitive information while giving users the trusted insights they need.
Tenant Isolation by Design
A key part of our security model is tenant isolation.
Each customer operates in a dedicated workspace with separate lakehouse environments. This helps ensure that customer data remains logically separated and reduces the risk of cross-tenant data exposure.
This architecture supports secure, scalable analytics delivery while giving organisations confidence that their data is handled in a controlled environment.
Built on Microsoft Azure and Fabric
DataNova is hosted on Microsoft Azure and built using Microsoft Fabric infrastructure.
This provides a strong foundation for enterprise analytics, including resilience, scalability, identity management, and security controls. By building on Microsoft’s cloud ecosystem, DataNova benefits from a trusted platform designed for modern data workloads.
Encryption and Access Control
Data protection is applied throughout the pipeline, including:
- Encryption in transit
- Encryption at rest
- Role-based access control
- Governed semantic models
- Controlled workspace access
This ensures that data is protected as it moves through the platform and as users interact with dashboards and reports.
Governed AI Access
As AI becomes part of modern analytics, security becomes even more important.
DataNova’s AI approach is designed around controlled access. AI tools interact with governed semantic models rather than unrestricted raw databases. This means AI-generated insights remain structured, auditable, and aligned with the data permissions in place.
This helps organisations explore AI-driven reporting and insight generation without losing control of their data.
Secure From Ingestion to Insight
Enterprise data security is not just about protecting storage. It is about securing the full journey from source data to final report.
