Ivanti, a cybersecurity and IT operations software company, has released research highlighting a significant disconnect between how organizations believe they are managing artificial intelligence governance and the actual state of their AI oversight practices.
The study found that while the vast majority of IT professionals claim a named owner exists for every AI agent deployed within their organizations, the reality tells a different story. According to the research, 85% of respondents stated that a named owner exists for each AI agent, yet only 42% indicated that ownership is actually clear in practice.
This disparity points to a broader challenge facing enterprises as they rapidly deploy AI technologies across their IT operations without establishing adequate governance frameworks. The findings suggest that many organizations have created theoretical ownership structures on paper but lack the practical clarity and accountability mechanisms needed to effectively oversee their growing AI infrastructure.
The Governance Challenge
The research underscores the complexity of managing AI systems at scale within enterprise IT environments. As organizations continue integrating AI agents into their operations to automate tasks and improve efficiency, the need for clear governance structures becomes increasingly critical. The gap between perceived and actual clarity indicates that many IT departments may be struggling to maintain visibility and control over their AI deployments.
Organizations worldwide are grappling with similar challenges as AI adoption accelerates across business functions. The need for transparent ownership and accountability is essential not only for operational efficiency but also for managing risks associated with AI systems, including security vulnerabilities and unintended behaviors.
Industry Implications
The findings from Ivanti’s research come at a time when regulators and industry bodies are paying closer attention to AI governance practices. Organizations that fail to establish clear ownership and accountability structures may find themselves vulnerable to compliance issues and operational risks. The research suggests that many IT professionals recognize the importance of governance but may lack the tools, processes, or organizational alignment needed to implement it effectively.
The disparity between claimed and actual governance clarity also points to a potential training and awareness gap within many organizations. IT teams may need additional support in establishing robust frameworks that translate governance intentions into actionable practices.
European Context
The findings have relevance across the European startup ecosystem and established enterprises alike, particularly given the European Union’s ongoing development of AI regulatory frameworks. As Europe continues to strengthen its approach to AI governance through initiatives like the AI Act, research highlighting governance gaps becomes increasingly valuable. European companies—from ambitious startups to established tech firms—must work to close the gap between theoretical ownership structures and practical governance implementations, ensuring they can demonstrate clear accountability over their AI systems to regulators and stakeholders.