A recent report reveals growing concern among IT leaders about the rapid rise of AI agents in the workplace. According to the findings, 77% of IT managers say their AI agents are “out of control,” while only about 23% feel they have full oversight. This points to a major gap between adoption and governance as companies rush to deploy autonomous systems.
One of the core problems is lack of visibility and control. Many organizations are deploying multiple AI agents across workflows—handling tasks like automation, coding, and customer service—without fully understanding how they behave or interact. As these agents operate autonomously and sometimes even spawn other agents, tracking their actions becomes increasingly difficult.
Security and access risks are another major concern. AI agents often require broad permissions to function effectively, but this can lead to over-privileged systems and hidden access pathways. In many cases, companies cannot clearly distinguish whether an action was performed by a human or an AI agent, increasing the risk of misuse, data leaks, or unintended actions.
Ultimately, the report highlights a critical reality: while AI agents promise efficiency and automation, they are also introducing new layers of complexity, unpredictability, and risk. Experts suggest that businesses must urgently implement stronger governance frameworks, clearer accountability, and better monitoring tools. Without these safeguards, the rapid expansion of agentic AI could outpace organizations’ ability to manage it effectively.