MobileGuard: A Mobile-Native Governance Framework for Agentic AI | Zenodo

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Published June 27, 2026

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MobileGuard: A Mobile-Native Governance Framework for Agentic AI

Authors/Creators

Singh, Jaspreet<br>(Researcher)

Description

Consumer mobile platforms now constitute the primary delivery channel for agentic AI, with global app releases surging 60-104% year-over-year in 2026, driven by AI-assisted development tools. Yet existing agentic governance frameworks, designed for mutable server-side enterprise deployments, cannot address the structural constraints unique to mobile: binary immutability, platform gatekeeper non-determinism, consumer-scale blast radius, ambient agent surface expansion, and regulatory exposure. We present MobileGuard, the first mobile-native governance framework for agentic AI, operationalizing four pillars across the mobile SDLC: Pre-Deployment Quality Contracts (PDQC), Tiered Autonomy Calibration for Mobile (TAC-M), Platform Gatekeeper Simulation and Governance (PGSG), and Ambient Agent Boundary Enforcement (AABE). MobileGuard is validated through three empirical studies. Study 1 presents a governance failure taxonomy derived from 2,847 real-world iOS and Android platform rejection records, identifying 23 failure categories across 6 pillars with 71.3% of failures undetectable by existing frameworks. Study 2 demonstrates a 74.1% Deployment Error Rate reduction (p less than 0.001) against a production mobile SDLC pipeline across three applications, outperforming AGENTSAFE by 45.7 percentage points. Study 3 presents a real-world cross-sectional audit of 942 mobile platform applications (iOS-primary; Android replication in progress) using AS-009, a novel release notes AI disclosure scanner covering both App Store and Google Play governance signals, finding a 4.0% governance signal rate with externally-derived violations observed in enterprise-scale developers including Adobe Inc. and Moleskine Srl, resolving the author-defined scenario circularity concern from Study 2. MobileGuard maps to ISO 42001:2023 and the EU AI Act, and is implemented as an open-source CLI available at github.com/jsingh6/mobileguard.

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Additional details

Software

Repository URL

https://github.com/jsingh6/mobileguard

Programming language

Python

Development Status

Active

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OpenAIRE

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Keywords and subjects

Keywords

agenticAI

mobile governance

iOS

Android

App Store Governance

PDQC

TAC-M

PGSG

AABE

MobileGuard

Software Engineering

AI Safety

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DOI

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DOI

10.5281/zenodo.20970167

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Resource type<br>Preprint

Publisher<br>Zenodo

Languages

English

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Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited.

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Created

June 27, 2026

Modified

June 27, 2026

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