Zluri, an identity governance and administration platform, has released its inaugural ´State of AI in the Workplace 2025 Report,´ providing a data-driven look at how enterprise artificial intelligence adoption is outpacing traditional IT oversight. Unlike prior survey-based assessments, Zluri’s analysis draws from real usage statistics across more than 160 organizations and over 400,000 individual users worldwide, using proprietary discovery technology. The findings cast light on a systemic issue: while organizations rapidly deploy Artificial Intelligence technologies, IT and security teams maintain control of less than 20 percent of these tools, leaving the majority—about 80 percent—operating undetected and unmanaged.
This proliferation of ´shadow artificial intelligence´ introduces new vectors of risk. According to Zluri CEO and co-founder Ritish Reddy, many companies now use hundreds of Artificial Intelligence tools, often outside IT’s line of sight, resulting in what he terms ´AI sprawl.´ The lack of visibility not only heightens the danger of data leakage and unauthorized access, but also makes maintaining compliance difficult. Reddy highlights the urgency for unified governance frameworks, capable of handling both human and non-human identities within the enterprise, as unchecked Artificial Intelligence expansion undermines traditional security models.
The report includes an ´Enterprise AI Leaderboard´—with ChatGPT as the dominant application—and a ´Rising Stars´ section spotlighting emerging tools within the enterprise sector. Organizational priorities for Artificial Intelligence investments are currently focused on categories that provide direct business value, such as chatbots, writing assistants, and voice recognition solutions. Interestingly, code generation tools are seeing adoption beyond typical software engineering teams, demonstrating Artificial Intelligence’s lateral spread across departments like sales, marketing, and customer support. While agent-based Artificial Intelligence remains at an early stage, the report underscores that Artificial Intelligence is rapidly moving from experimental deployments to essential business infrastructure, magnifying the stakes for effective management and oversight.
