Denodo Report Highlights "Trust Gap" In Agentic AI Adoption

KUALA LUMPUR, April 16 (Bernama) -- Denodo, a leader in data management, has released The AI Trust Gap Report, a global study revealing that the next phase of artificial intelligence (AI)—agentic AI—is facing significant trust challenges driven by data-related issues.

“AI is rapidly shifting from systems that merely answer questions to systems that take autonomous action, and this transition changes the data requirement entirely,” said Denodo vice president of Product Marketing, Dominic Sartorio, noting that real-time, governed and contextually relevant data is critical for scaling agentic AI with confidence.

The report finds that 63 per cent of organisations struggle to locate relevant, context-specific data, while 66 per cent say real-time data access is essential for AI to be considered trustworthy.

At the same time, 67 per cent face difficulties maintaining consistent security and access controls, adding to the complexity of deploying autonomous AI systems safely, according to a statement.

Data scale is also a growing concern, with enterprise AI initiatives drawing from an average of over 400 data sources and 20 per cent of organisations managing more than 1,000 sources.

Nearly 60 per cent of respondents report performance challenges in handling the intensive workloads required for large-scale AI.

The report concludes that the "trust gap" stems not from AI models themselves, but from fragmented and outdated data architectures. Bridging this gap will be essential for organisations seeking to transition from experimental AI use cases to fully automated, enterprise-scale deployments.

-- BERNAMA