The article highlights a critical security concern in enterprise AI adoption dubbed “Shadow AI,” where non-technical employees build AI tools and automations on approved platforms without security oversight, creating significant blind spots for security teams who can track less than half of these AI agents. Despite platform approvals, enterprises remain responsible for securing what is built on them, yet many AI tools operate invisibly, often accessing sensitive data without triggering alerts, underscoring the urgent need for runtime governance and visibility into these business-built AI applications to manage risks effectively.
