Top Enterprises Face Trust Gap Blocking Agentic AI Adoption Visuals & Insights

Enterprises Face Trust Gap Blocking Agentic AI Adoption

A global survey of **850 executives** in **The AI Trust Gap Report** from **Denodo** finds enterprise adoption of ** Agentic AI ** is being blocked by data quality, governance, and latency issues. Key findings: **66%** insist on real-time data for trust , **63%** cite difficulty finding contextually relevant data, and **67%** report inconsistent security and access controls. Large initiatives now ...

Research Reveals Trust Gap Threatening Agentic AI Adoption

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New research has identified a significant " trust gap " that could hinder enterprise adoption of agentic AI systems, with two-thirds of organizations citing real-time data access as a critical requirement for deployment. The study reveals that enterprises are hesitant to implement autonomous AI agents without guaranteed access to current, up-to-date information that can inform decision-making ...

The rise of agentic AI in enterprise environments, particularly in healthcare and manufacturing, is hindered by an inadequate identity governance framework. Currently, while 85% of enterprises are piloting these AI agents, only 5% have successfully transitioned to full production due to significant trust issues surrounding accountability and access control. This highlights an urgent need for ...

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Research Reveals Trust Gap Threatening Agentic AI Adoption

The report concludes that the " trust gap " is not a failure of AI models, but a reflection of the underlying data architecture. For organizations to move from experimental AI to automated scale, they must bridge the divide between their disparate data estates and the real-time requirements of agentic systems.

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📁 Category: Adoption

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