Lookout Introduces New Solution to Expose Shadow AI Risk

Lookout extended its mobile security platform with the launch of Lookout AI Visibility & Governance, a mobile-native solution designed to provide organizations with the visibility needed to discover, govern, and secure AI adoption across their mobile ecosystem.

By extending AI agent discovery and policy control into the mobile environment, Lookout provides a missing layer of visibility, enabling organizations to identify “Shadow AI”  activity on mobile devices, detect unauthorized agent behavior, and enforce policy where traditional controls have no reach.

The new offering delivers a real-time view of an organization’s AI footprint by identifying both sanctioned and unsanctioned AI use on mobile devices, exposing activity that traditional endpoint and cloud-centric discovery tools cannot detect. It provides actionable, evidence-based visibility to enforce policy, reduce risk, and maintain control over AI usage across the mobile domain. As a strategic extension of Lookout’s mobile security platform, it goes beyond device protection to directly govern AI activity, preventing unintended data exposure from both autonomous agents and “Shadow AI,” and securing the interactions users rely on every day.

“AI adoption is accelerating faster than most organizations can see or control, especially on mobile devices, where AI activity often operates outside traditional corporate boundaries and remains largely invisible,” said Jim Dolce, CEO of Lookout. “With the launch of Lookout AI Visibility & Governance, we’re closing that gap, giving organizations the ability to see, understand, and govern AI usage at the mobile layer, bringing mobile AI activity out of the shadows into full visibility and control.”

Lookout AI Visibility & Governance acts as a strategic force multiplier across Lookout’s mobile security platform, extending protection from the device to the AI activity occurring on it. It strengthens a layered defense that secures not only devices and users but also the AI-driven interactions that operate on their behalf.

“While monitoring and control over AI deployment on laptops and within the corporate network is rightly growing, monitoring of AI usage on mobile platforms lags far behind,” said Mark Child, Associate Research Director, IDC. “This situation can create increased risk due to the lack of visibility and control over AI usage in the mobile domain.”