Shadow AI: Balancing Security & Productivity in the Workplace

Most AI security discussions focus on attackers, but a recent poll reveals a more immediate concern for many teams: enabling safe AI use and addressing shadow AI. This indicates where security leaders are feeling pressure. Employees are already using AI to work faster. The challenge is making this use safe before it moves to private accounts and unmanaged tools. SoSafe's Adaptive Defence Playbook found that 97% of security leaders see AI as the main driver of increased threat sophistication. Attackers are scaling from the outside, while employees adopt AI internally for tasks like summarizing notes and drafting messages. 40% of security professionals have identified shadow or unsafe AI use in their organizations, including unapproved tools or sensitive data being entered into them. This creates a dual frontline: one hostile, the other well-intentioned, both creating risk. Shadow AI often starts with employees using public tools for everyday tasks, like summarizing internal notes. The risk grows when these shortcuts involve sensitive information that should stay within approved systems. Much of this activity can happen through personal or unmanaged accounts, creating a visibility gap for security teams. Blocking AI entirely might seem safer, but it can push this behavior further out of sight..