9 Shadow AI Examples Every IT Team Should Know in 2026

Shadow AI refers to the use of AI tools, models, or applications for work purposes without organizational approval or oversight, posing significant governance challenges that many IT teams underestimate. This phenomenon encompasses a wide range of activities, such as employees using public chatbots like ChatGPT for processing sensitive data, developers employing unapproved AI coding assistants, and business users creating and deploying applications using AI tools without proper security reviews. The prevalence of shadow AI is underscored by a 2025 report indicating that 91% of AI tools in use bypass security or IT management, with AI adoption outpacing governance by a ratio of 4:1. The risks associated with shadow AI include data exposure, unauthorized system access, and ungoverned application development, necessitating comprehensive governance strategies. Superblocks, a platform designed to address these issues, provides a controlled environment for building and managing AI-driven applications, ensuring proper security measures are in place from the outset.

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