The IT Nerd

MIND has released new research, “The Impact of Data Trust on AI Initiative Success,” which examines the role of data trust in AI success, revealing a widening gap between rapid AI adoption and the ability to secure and govern the data that powers it.

Key findings include:

• There is a wide gap between visibility and enforcement: Most organizations have written policies for AI. They have governance frameworks, acceptable use of documents, and AI councils. What they cannot do is enforce those policies effectively at machine speed. In fact, 70% struggle to enforce policies on GenAI tools, 66% cannot enforce AI agent policies, and 98% report at least one AI security challenge.
• Data fundamentals are lacking and impede AI projects: Every day an AI tool operates against an unclassified, ungoverned data estate, it is surfacing exposure that no one can see and manage. The challenge is urgent, with 68% not knowing what data their agents are accessing, 65% not knowing what data is accessible for AI input, and 41% reporting they know they have Shadow GenAI.
• AI does not behave like a human: Policies written for human actors are insufficient for AI agents that execute without hesitation. Data estates that were never fully classified become comprehensively and immediately exposed the moment an agent is pointed at them. These agents behave in ways that existing security frameworks were never built to track. Alarmingly, 90% of organizations have given broad data access to enterprise GenAI, 68% cannot determine what data their agents are accessing, and 32% have unknown agents already operating in their environment.

You can look at the research here: https://mind.io/content/research-report-impact-of-data-trust-on-ai-success

This entry was posted on April 8, 2026 at 9:00 am and is filed under Commentary. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.