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Agentic AI Governance

Agentic AI acts on your behalf. On mobile, it acts without your oversight.

AI agents embedded in mobile apps can initiate transactions, access corporate data, and execute workflows autonomously, carrying full user identity, authenticated sessions, and OAuth tokens. Most enterprises have no controls in place for this.

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52%

of generative AI usage occurs on mobile devices

78%

of knowledge workers use personal AI tools for work, including uploading sensitive corporate data

25,000+

AI-enabled apps already available in major mobile app stores

~$670K

more — average additional cost of a breach involving Shadow AI (IBM)

The Problem

Agentic AI is an actor, and it runs on mobile.

Unlike Generative AI, Agentic AI systems are designed to plan, decide, and execute multi-step workflows independently. They can autonomously initiate communications, trigger financial transactions, modify records, and invoke privileged APIs, all without human intervention at each step.

When these systems are embedded in mobile applications, the risk profile changes fundamentally. Mobile devices consolidate identity, access, and data into a single, always-on interface. An AI agent operating through a mobile app inherits the user's full digital authority: corporate entitlements, MFA-validated identity, authenticated cloud sessions, and OAuth tokens connected to a wide range of SaaS applications.

The implication: a single governance 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 architectures.

Why Legacy Controls Fail

Desktop-era governance frameworks were not built for autonomous mobile actors.

The detection blind spot

Firewalls, email gateways, SWGs, CASBs, and desktop EPP platforms are blind to activity occurring entirely on smartphones and tablets.

The retrofit problem

Vendors attempting to extend desktop AI governance to mobile fail to account for the unique operating frameworks, sandboxing architecture, and encrypted data flows of mobile environments.

Encrypted channel bypass

Agentic AI activity often flows through encrypted app traffic and direct API calls, bypassing network monitoring entirely, including corporate proxies.

Speed asymmetry

AI agents operate at machine speed. By the time a traditional governance tool surfaces an anomaly, autonomous workflows may have already executed across multiple systems.

What Lookout Delivers

The mobile-native control point for Agentic AI risk.

Lookout AI Visibility & Governance provides the only mobile-native governance capability purpose-built to detect, monitor, and control AI agents operating across iOS and Android devices. It addresses what AIDR platforms fundamentally miss, and it does so without requiring changes to existing infrastructure.

Agentic AI Discovery

Lookout identifies AI tools in your mobile fleet that are capable of performing autonomous actions on behalf of users, not just passive apps. This includes AI assistants embedded in third-party apps, autonomous workflow tools, and AI agents operating via SDKs that may not be visible at the surface level.

Behavioral Analysis & Permission Mapping

Beyond simple app detection, Lookout uses behavioral analysis and permission mapping to identify when AI tools are operating autonomously, executing workflows, making API calls, or accessing data without direct user initiation. This enables differentiation between passive AI tools and active agents.

Real-Time Data Guardrails

Stop sensitive data from reaching unsanctioned AI services before it leaves the device. Lookout helps enforce data flow policies at the network and DNS layer, preventing unauthorized exfiltration by AI agents operating through encrypted mobile channels.

Policy Enforcement Across the Spectrum

Apply granular, risk-differentiated policies to AI agents: allow, warn, monitor, redirect, block, or quarantine. Policies can be scoped to specific apps, AI service categories, or behavioral patterns, giving security teams meaningful control without blanket restrictions that impede legitimate productivity.

Automated Compliance Alignment

Lookout generates audit-ready evidence aligned to the frameworks most directly applicable to agentic AI risk — ISO 42001, the EU AI Act, and the NIST AI RMF — eliminating manual compliance mapping and providing the auditable traceability regulators and boards require.

Businesses and organizations around the world trust Lookout to safeguard their data.

242M+

Mobile devices monitored

438M+

Mobile devices monitored

583M+

URLs analyzed

15+ years

Mobile security research

Regulatory Alignment

Governing agentic AI is a legal obligation, not just a security practice.

Global AI governance frameworks now place explicit requirements on organizations to document, monitor, and control AI-related data flows and autonomous system behavior. Without mobile visibility, these obligations cannot be met:

EU AI Act — Tiered obligations; mobile data flows must be governed, logged, and auditable; penalties up to 3% of global annual revenue

ISO/IEC 42001 — Without mobile visibility, certification is structurally impossible to achieve or sustain

NIST AI RMF — MAP, MEASURE, MANAGE, and GOVERN functions all require mobile endpoint coverage