As organizations move from AI experimentation to agentic execution, data trust is no longer optional — it's the foundation everything else depends on.

This excerpt from IDC Directions 2026 captures what leading organizations are already acting on:

  • Autonomy without trusted data is not a strategy. It's a gap.
  • Buyers are demanding proof that data is accurate, secure, and governed before they commit
  • Organizations that get this right now will be harder to displace later

Presented at IDC Directions 2026, Boston, April 8, 2026 by Jennifer Glenn, Research Director, IDC, and Stewart Bond, Research VP, IDC. The insight from this session is now available to access.

What You'll Explore

  • Why data security concerns are slowing agentic AI implementation
  • Why AI-ready data architecture is becoming a strategic priority
  • How data quality and security together enable trusted AI outcomes
  • Why data control is essential as organizations scale AI agents
  • How AI tools are strengthening data management, risk assessment, and compliance

Access the excerpt and navigate your agentic AI strategy with confidence.

Available in PDF format

Build Trust Before You Scale Autonomy

Agentic AI is reshaping how enterprises think about data, governance, and control. IDC helps technology vendors and tech buyers understand where trust requirements are emerging and how to make smarter decisions with trusted technology intelligence.