The Mobile AI Visibility Imperative

InnovationThe Mobile AI Visibility ImperativeByFiras Azmeh,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)Jun 03, 2026, 08:45am EDTFiras Azmeh, President of Mobile Endpoint Security at Lookout. gettyBeyond technical discovery, organizations must operationalize a "compliance-by-design" framework that aligns with the EU AI Act and NIST AI Risk Management Framework.In the past year, the cybersecurity industry has reached a consensus that AI visibility is no longer optional—it is the bedrock of modern enterprise risk management. We have seen significant industry momentum and product innovation focused on "AI Detection and Response" (AIDR). Recent announcements from major security players focus on Windows, macOS and cloud-native endpoints and have been instrumental in validating this urgency. It is a major step forward for the industry to align on the need to govern employees' interactions with AI on their endpoints.As we work to secure the endpoint, we also need to rethink what an “endpoint” actually is. It’s no longer just the desktop—mobile devices have become a primary attack surface, particularly in the era of AI-driven threats.The Mobile Blind SpotThe modern workforce is mobile-first. In the United States alone, a February 2026 Gallup poll indicates that 78% of remote-capable employees work in hybrid or fully remote arrangements, using mobile devices as their primary interface for communication, access and execution. Yet, current AI governance strategies largely treat mobile devices as a secondary concern.This creates a structural governance gap. Traditional discovery approaches rely on network gateways, secure web gateways (SWGs) and proxy-based inspection to analyze traffic and detect AI activity. These tools work well for corporate networks. But mobile AI traffic is fundamentally different;...