Mobile AI Activity: 50%+ Unmonitored, Security Risk

Organizations have limited visibility into AI activity on mobile devices. This is despite security leaders expressing confidence in their AI governance. What's interesting is that over half of mobile AI activity remains unmonitored. This is because traffic often occurs between local applications, on-device models, and external cloud services. Standard network controls cannot monitor these interactions. When strict AI restrictions are in place, employees often use personal mobile devices, creating "shadow IT." This expands the attack surface, highlighting a gap between perceived and actual visibility. The rise of agentic AI makes this problem even more complex. Smartphones are a particular concern. They consolidate identities and credentials, making them an ideal platform for agents operating with a user's digital authority. Organizations struggle to see how autonomous AI agents operate, what data they access, and how permissions are inherited on mobile. The business impact is significant. Without this visibility, organizations cannot ensure accountability or demonstrate auditability for global compliance frameworks. This means they can't produce the audit-ready evidence needed for AI governance.