Lookout today 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.
Bridging the Mobile AI Governance Gap
A recent survey of CISOs and senior security leaders commissioned by Lookout highlights the magnitude of the challenge. Key findings from the survey include:
● Visibility gaps: Nearly 60% of surveyed organizations cannot monitor AI activity on mobile devices, leaving the majority of mobile AI activity operating in the shadows
● Agentic blind spots: 68% of surveyed organizations lack visibility into the workflows and permissions of autonomous AI agents on users’ devices.
● Hidden risks: 72% of surveyed organizations cannot identify AI Software Development Kits (SDKs) embedded in the apps their employees use.
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.
Key features and benefits include:
● Comprehensive AI App Discovery & Shadow AI Visibility: Obtain real-time inventory of all AI apps—sanctioned and unsanctioned—across corporate and BYOD devices, exposing hidden “Shadow AI” and turning mobile risks into governed 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 the European Union’s Artificial Intelligence Act (EU AI Act), the U.S. National Institute of Standards and Technology’s AI Risk Management Framework (NIST AI RMF), and the international standard ISO/IEC 42001, delivering the traceability required for effective AI risk management and regulatory compliance.
To learn more about how Lookout AI Visibility & Governance is transforming mobile security:
Lookout Study Reveals 93% of CISOs Blinded by False AI Confidence as 59% of Mobile AI Traffic Flows “Dark”
Posted in Commentary with tags Lookout on June 9, 2026 by itnerdLookout today released the findings of an exclusive survey report conducted with ZK Research, titled “Solving for the Mobile AI Blind Spot: Executive Confidence Meets Technical Reality.” The independent study exposes a systemic architectural failure. An overwhelming 93% of security executives voice absolute confidence in their AI governance, yet traditional network perimeters are completely blind to a massive mobile shadow AI ecosystem.
The evolution of the mobile AI threat landscape
The rapid enterprise shift from desktop browsers to mobile applications has fundamentally broken traditional data security perimeters. When organizations block or throttle generative AI tools on corporate laptops, employee behavior shifts, rather than stops. To maintain productivity, employees rely on the ultimate shadow AI bypass route. Their personal devices. Today, 52% of all generative AI usage occurs on mobile endpoints, with global knowledge workers routinely uploading sensitive source code, corporate records, and intellectual property.
The technical reality: High spend, zero visibility
Driven by legacy, desktop-era security thinking, organizations are throwing an average of 19% of their 2026 security budgets at AI compliance. Despite this heavy spend, traditional security frameworks are experiencing a systemic structural failure when confronted with mobile-native generative and agentic AI:
This total absence of mobile-native visibility has immediate operational and board-level consequences. The report confirms that 63% of organizations have actively investigated severe data leaks within the past 12 months where generative AI tools were a definitive contributing factor. Furthermore, 78% of security leaders admit they cannot generate the audit-ready evidence required by emerging frameworks like the EU AI Act, exposing organizations to devastating, tiered global statutory fines that reach up to €35 million or 7% of an enterprise’s total global annual turnover.
Lookout AI Visibility & Governance
To bridge the gap between false security confidence and technical reality, enterprises must abandon perimeter-tied discovery models and deploy a dedicated, mobile-native architecture.
The survey’s findings directly reinforce the critical importance of Lookout’s recent launch of Lookout AI Visibility & Governance. Purpose-built to eliminate the heavy operational friction and “virtualization tax” of legacy architectures, Lookout treats the physical endpoint as the primary control point for AI risk. Operating natively and non-disruptively inside the device environment, Lookout addresses the exact blind spots revealed in the ZK Research data through three primary pillars:
system, background process, and embedded SDK touching corporate data fabrics to
neutralize the 72% supply chain visibility gap.
Join the virtual panel discussion on June 11th
To help organizations navigate these findings and bridge the mobile AI visibility gap, Lookout will host an exclusive virtual panel on Thursday, June 11, 2026.
Moderated by Zeus Kerravala, Principal Analyst at ZK Research, the panel will feature top cybersecurity executives dissecting shadow permissions, embedded SDK exposure, and practical strategies for enforcing edge-based data guardrails.
● What: Solving for the Mobile AI Blind Spot (Virtual Panel)
● When: Thursday, June 11, 2026 at 8:00 am PT
● Moderator: Zeus Kerravala, ZK Research
● Registration: To secure your virtual seat, register now
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