Which brand is developing the Android app diagnostic feature using generative AI for AeyeScan?

AI Security Lab is developing the Android app diagnostic feature for AeyeScan using generative AI.

How does AeyeScan's new feature utilize Vision AI in mobile app diagnostics?

AeyeScan uses Vision AI for screen recognition to enable comprehensive mobile app security testing.

What component in AeyeScan's system acts as an autonomous 'Planner' engine for testing?

AeyeScan's system includes an autonomous 'Planner' engine to conduct comprehensive backend API testing.

Why is AeyeScan's generative AI feature significant for security testing in 2024?

AeyeScan's 2024 generative AI feature reduces costs and addresses the shortage of security experts in testing.

AeyeScan to Launch Japan's First Generative AI-Powered Mobile App Vulnerability Diagnostic Feature

Q: What is the name of the generative AI-powered mobile app launched by AeyeScan in Japan?

AeyeScan launched Japan's first generative AI-powered mobile app vulnerability diagnostic feature.

Published May 26, 2026 5:00 PM ・ Updated Jun 14, 2026 3:57 PM ・ 4 min read ・ Source: PR TIMES

AI Security Lab will add an Android app diagnostic feature to AeyeScan using generative AI. By utilizing Vision AI for screen recognition and an autonomous 'Planner' engine, it enables comprehensive testing including backend APIs at lower costs, addressing the shortage of security experts.

AI Security Lab Co., Ltd., provider of the cloud-based web application vulnerability diagnostic tool "AeyeScan," has announced the upcoming release of a new feature that automates Android app vulnerability diagnostics using generative AI to visually understand screens similar to a human.

A next-generation autonomous UI crawler takes over for expert diagnosticians, visually comprehending the app and executing exhaustive security tests, including backend APIs. This solves three major challenges in mobile app development: "lack of experts," "high costs," and "ritualized testing."

### Development Background Currently, mobile app security diagnostics face a severe "technical gap," including the barrier of manual testing requiring high expertise, limitations of traditional tools dependent on internal code analysis, and the vulnerability of neglected backend APIs.

### Key Features of AeyeScan "Android App Diagnosis" 1. **AI-Driven Screen Analysis**: Leveraging advanced Vision capabilities (like Gemini), it identifies elements like buttons and input fields from screenshots. It allows accurate recognition even in apps with obfuscated code or proprietary UI frameworks. 2. **Autonomous Navigation Engine 'Planner'**: Acting as the command center, the AI determines the next action (click, scroll, end) based on history and status, avoiding infinite loops and ensuring coverage. 3. **Contextual Test Data Generation**: Reads labels and placeholders to dynamically generate optimal input values, allowing the crawler to navigate complex forms that previously required manual input. 4. **Integrated Triple Scanning**: Captures API communication during crawling, performs binary analysis, and scans for vulnerabilities across both client and server sides in one stop.

### Future Outlook The company aims to evolve security from a specialized niche into a standard process accessible to all developers. Detailed explanations of these AI-driven approaches will be presented at Interop 2026 on June 12 and a company-hosted webinar on July 7.

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Source: PR TIMES
Category: New Product
Products / services: AeyeScan

AeyeScan to Launch Japan's First Generative AI-Powered Mobile App Vulnerability Diagnostic Feature

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