In the Media

Executive Editor Tim King discusses AI governance at scale and why unified data control is essential for policy enforcement, compliance, and observability. This look at AI governance is brought to you by Denodo, a leader in data management solutions that bring trusted, governed data for enterprise AI.

L'intelligenza artificiale sta compiendo un salto evolutivo, passando da semplici chatbot passivi a sistemi autonomi capaci di agire: la cosiddetta Agentic AI. Tuttavia, secondo il report The AI Trust Gap di Denodo, questa transizione è ostacolata da una profonda crisi di fiducia legata alle architetture dati. A livello globale, il 63% delle organizzazioni fatica a trovare dati rilevanti, mentre in Italia questa criticità tocca il 52% delle aziende, il valore più alto registrato in Europa.

Denodo's new research AI Trust Gap Report has revealed that agentic AI is facing a critical trust crisis. The study revealed that 63% of organisations said that identifying the most relevant and trustworthy data, or preparing it for consumption, is a significant barrier to AI deployment. Moreover, 66% of respondents insist that AI data must be accessed in near real-time to be considered trustworthy.

The AI Trust Gap Report by Denodo, based on a survey of 850 enterprise leaders, finds that while AI is rapidly evolving into “agentic” systems capable of autonomous decision-making, organisations are falling short in three critical areas: access to live data, identifying the right data, and implementing governance guardrails.

As powerful as it is proving to be, AI is a bit of a “black box.” Often, its inner processing is opaque to even its own developers. This is unacceptable, from an AI ethics standpoint. If we want AI that is free of bias and the ability to act in harmful ways, then we need to be able to see inside that black box. Beyond that, we need to create active guardrails that effectively prevent unwanted AI activity. This is even more important now that AI is outgrowing its chatbot capabilities to become fully agentic and autonomous.

Artificial intelligence (AI) is evolving from chatbots into fully autonomous systems capable of reasoning, using tools, and executing multistep workflows. These new AI agents don't just summarize policies and other rote tasks (as powerful as these abilities can be); they can also perform such complex tasks as initiating claims adjustments, negotiating subrogation settlements, or updating risk profiles in real time.

Denodo, a leader in data management, today released the results of The AI Trust Gap Report, a comprehensive global study revealing that the next frontier of artificial intelligence – Agentic AI – is facing a critical trust crisis.

Saudi Arabia is entering a new phase of artificial intelligence adoption, moving beyond pilot projects into systems that can take real operational decisions. This shift toward more autonomous AI is already underway, particularly in sectors tied to the Kingdom’s Vision 2030 ambitions, including smart cities, infrastructure and public services.

Denodo, a leader in data management, today released the results of The AI Trust Gap Report, a comprehensive global study revealing that the next frontier of artificial intelligence – Agentic AI – is facing a critical trust crisis.

Denodo has unveiled findings from its latest global research, The AI Trust Gap Report, revealing a significant challenge confronting enterprises as they transition toward agentic AI. Based on insights from 850 executives worldwide, the study finds that while organizations are eager to embrace AI systems capable of autonomous decision-making, a lack of trust in underlying data is slowing adoption.