On-demand Webinar
Building a Trusted Data Foundation
Part 1 of the AI-Safe Data Governance Series
Data stored in separate systems, unclear lineage, and compliance gaps are major challenges in today’s AI-driven enterprises. In this 45-minute recorded session, Acuvate experts demonstrate how to build a trusted data foundation using Microsoft Purview, Azure AI Foundry, and AcuTrust.
Learn how unified cataloging, automated classification, and lineage mapping can help your organization ensure data accuracy, ownership, and AI safety across hybrid and multi-cloud environments — the key to building a data foundation for AI success.
What You’ll Learn
- Identify common governance failures and their business risks
- Use Microsoft Purview to catalog and classify data across Azure, AWS, GCP, and SaaS
- Trace lineage and ownership for audit-ready provenance
- Accelerate discovery and stewardship with AcuTrust workflows
This session gives you a clear understanding of what AI data governance means in modern enterprises and how to apply it effectively.
Why Watch This Webinar
- See how AI-safe data governance with Microsoft Purview and AcuTrust enable enterprise-grade data governance
- Learn practical ways to improve compliance and build data trust
- Get insights from Acuvate experts on governance and regulatory readiness
- Explore AI-safe data governance examples from real-world enterprise use cases
- Understand how AI-safe data governance with Azure AI Foundry supports responsible AI initiatives
By the end of this session, you’ll gain a deeper view of how a robust AI data governance framework can help your organization maintain trust, compliance, and transparency while preparing AI-driven innovation
Who Should Watch
- CIOs / CDOs / Chief Compliance & Risk Officers
- Data Governance & Compliance Managers
- Data Owners and IT Leaders
- AI and Analytics Professionals
AI-Safe Data Governance - FAQs
AI-Safe Data Governance is the practice of ensuring that all data used for artificial intelligence is accurate, traceable, and compliant with regulations.
It focuses on building trust in data before it’s used in AI systems, preventing issues like bias, privacy breaches, or outdated information from influencing decisions.
A Trusted Data Foundation is essential because AI can only perform as well as the data it’s trained on.
By unifying data sources, removing silos, and ensuring consistent quality, organisations can create a single, reliable view of their information, enabling safe, scalable AI adoption without compliance risks.
An effective AI Data Governance Framework combines:
- Policies — defining how data is accessed and shared
- Processes — covering discovery, classification, and stewardship
- Technology — automating governance through platforms like Microsoft Purview and Azure AI Foundry
- People — assigning clear ownership and accountability
Together, these ensure that governance scales smoothly as data grows.
Microsoft Purview gives organisations visibility and control over their data by:
- Cataloguing assets across multiple clouds and systems
- Classifying sensitive data automatically
- Mapping lineage to show where data originates and how it changes
- Supporting audits with detailed ownership and usage tracking
This creates the transparency required for safe and compliant AI operations.
Azure AI Foundry helps integrate trusted, well-governed data into AI development workflows.
It ensures that data used in model training comes only from approved, compliant sources, turning governance principles into daily practice and enabling AI innovation without compromising security or ethics.
Enterprise-grade governance protects personal and confidential data through:
- Automated discovery and tagging of PII
- Access controls and encryption
- Continuous monitoring for policy breaches
- Audit-ready documentation for compliance teams
By applying these safeguards, organisations maintain trust and integrity while scaling AI responsibly.
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