Unlocking AI with Secure, Protected Data

Enterprise AI is only as trustworthy as the data that powers it. As organizations accelerate AI adoption, protecting sensitive information throughout the AI lifecycle has become essential for reducing risk, maintaining compliance, and enabling innovation at scale. 

This IDC White Paper explores why data visibility, governance, encryption, identity-aware access controls, and continuous monitoring are foundational for secure AI. It examines the operational challenges organizations face, explains how unified data security frameworks reduce complexity, and highlights best practices for protecting data before, during, and after AI processing. Security leaders, data architects, and AI decision-makers will gain practical guidance for building trusted AI environments while maintaining compliance and improving business outcomes. 

What you will learn:

• Why data security is becoming the foundation of successful enterprise AI
• How data discovery, classification, and lineage improve AI governance
• Best practices for protecting sensitive data before AI ingestion
• How identity-aware controls reduce AI data exposure
• Why unified data security platforms simplify compliance and accelerate AI adoption