Introducing Lookout AI Visibility and Governance

The rapid onslaught of artificial intelligence (AI) is fundamentally altering how work gets done—and how risk manifests across the enterprise. In response, organizations are scrambling to deploy comprehensive AI Agent Discovery capabilities, seeking to identify both sanctioned and unsanctioned AI usage across SaaS and cloud-hosted services. These initiatives aim to provide full visibility into where AI agents operate, detect their presence, uncover unauthorized access to enterprise resources, and enforce policy over what those agents are permitted to do.

However, despite this progress, a critical gap remains. With 93% of surveyed organizations reporting employee use of generative AI on mobile devices, mobile has become a primary surface for AI interaction—yet it remains largely invisible. Existing discovery approaches rely on network gateways to inspect traffic and identify AI activity through API signatures and protocol patterns. But when employees access AI tools like ChatGPT, Claude, and Gemini directly from mobile devices, that traffic often bypasses these controls entirely—leaving mobile environments as a persistent and largely unmonitored blind spot.

Today, this gap is closed with the introduction of Lookout AI Visibility & Governance. By extending AI Agent Discovery and governance into the mobile environment, Lookout provides the 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.

You Can’t Govern What You Can’t See

Without mobile visibility, organizations cannot fully understand how AI is being used, what data it accesses, or where that data flows—undermining their ability to meet global requirements such as ISO/IEC 42001, the EU AI Act, and the NIST AI Risk Management Framework. The result is a breakdown of core governance principles—traceability, risk assessment, and control enforcement—leaving enterprises exposed to regulatory non-compliance, data protection violations, and an inability to scale AI adoption confidently and in a controlled, secure manner.

Lookout addresses this challenge with continuous mobile AI visibility and runtime governance—empowering organizations to enforce control, reduce exposure, and demonstrate clear oversight to auditors, boards, and regulators.

The Agentic Evolution: From passive tools to autonomous actors

The mobile security challenge intensifies as we enter the era of Agentic AI. Unlike Generative AI, agentic systems are "autonomous actors" designed to plan, decide, and execute multi-step workflows independently. Agentic usage is growing rapidly, with Gartner estimating that by the end of 2026, more than 40% of enterprise applications will include task-specific AI agents. These systems can autonomously initiate communications, trigger financial transactions, and modify records without human oversight. With over 25,000 AI-enabled apps already in major app stores, employees can instantly deploy these autonomous capabilities at the mobile edge.

Agentic AI fundamentally reshapes the mobile risk equation. When AI agents are embedded deep within the mobile environment, they introduce an entirely new attack surface—one that operates with the user’s full digital authority, including corporate entitlements, authenticated sessions, MFA-validated identity, and OAuth tokens that connect to a wide range of SaaS applications. Because mobile devices consolidate identity, access, and data into a single, always-on interface, they become the ideal launch point for agents to act autonomously on a user’s behalf. The implication is significant: a single security gap on a mobile device can enable an agent to exfiltrate data, invoke privileged APIs, and manipulate business processes at machine speed—well beyond the visibility and control of legacy, desktop-centric security models.

Lookout: The Control Point for AI Risk in a Mobile World

Lookout AI Visibility & Governance serves as a strategic force multiplier across Lookout’s mobile security platform, extending protection beyond the device to the AI activity occurring on it. It prevents unintended data exposure by governing both autonomous AI agents and unapproved “Shadow AI” tools, creating a layered defense that secures not only users, but also the AI-driven interactions acting on their behalf.

• Comprehensive AI Application Discovery & Shadow AI Visibility: Gain a complete, real-time inventory of every AI-enabled application—sanctioned and unsanctioned—interacting with corporate data across both corporate-owned and BYOD devices. Uncover hidden “Shadow AI” activity that bypasses traditional controls and transform invisible mobile risks into governed, manageable assets.
• Agentic Behavior Monitoring: Continuously analyze AI-driven behavior and map permissions to ensure autonomous agents do not execute unauthorized workflows or access sensitive enterprise data.
• Intelligent Data Guardrails & Policy Enforcement: Prevent sensitive data from reaching unsanctioned AI services with real-time controls that stop unauthorized access and exfiltration.
• Automated Compliance Alignment: Generate audit-ready evidence aligned to ISO/IEC 42001, the EU AI Act, and the NIST AI Risk Management Framework (AI RMF), delivering the traceability required for effective AI risk management and regulatory compliance.

Bring Mobile AI Risk Into View—Before It’s Too Late

The takeaway is not that traditional AI discovery tools are ineffective—they continue to play an important role. But they were designed for a different environment, one where the enterprise perimeter is clearly defined and enforceable. Mobile operates outside those traditional corporate boundaries—beyond network perimeters, gateways, and most enterprise discovery tools—making a growing share of AI activity effectively invisible. As employees interact with AI agents and services directly from mobile apps, that usage often bypasses the telemetry and enforcement points that underpin AI governance strategies. The result is a material gap: organizations may believe they have comprehensive AI oversight, while a significant portion of real-world usage remains unseen.

AI usage on mobile is not an anomaly—it is the new normal across the enterprise. Yet most AI visibility and governance strategies remain anchored to a perimeter that no longer exists. As work shifts to mobile, so does AI activity—occurring outside traditional control points and beyond the reach of legacy discovery tools. The organizations that succeed will be those that recognize this shift, extend visibility into the mobile layer, and align their controls with how AI is actually being used—before unseen activity becomes unmanaged risk.