For nearly two decades, IT departments have struggled with Shadow IT — the unsanctioned adoption of cloud services, applications, and tools by employees without prior vetting. This phenomenon has eroded visibility and control over corporate infrastructure, as teams independently deploy solutions that bypass security, compliance, and governance frameworks. Now, a parallel challenge is emerging with artificial intelligence. Companies are beginning to lose track of AI agents, as staff integrate intelligent automation, large language models, and autonomous software agents into workflows without IT oversight. This new wave of “AI Shadow IT” replicates the pattern of earlier unauthorized tech adoption, but with heightened risks: AI agents can access sensitive data, execute decisions, and interact across systems, magnifying the potential for data leaks, regulatory breaches, and operational disruptions. Early signals indicate that many organizations are unaware of the scope of agent deployment, leaving them exposed to uncontrolled automation and fragmented AI governance. The article underscores that without urgent coordination between business units and IT, enterprises may repeat the costly lessons of Shadow IT in a far more complex and autonomous technology landscape.

Pendant près de deux décennies, les directions informatiques ont tenté de reprendre le contrôle d’un phénomène devenu familier : le Shadow IT. Derrière cette expression se cachait une réalité simple. Des collaborateurs adoptaient des outils, applications ou services cloud sans validation préalable des équipes informatiques. Les entreprises découvraient alors qu’une partie croissante de leurs infrastructures …

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