The AppAudixTM AI model autonomously tests your mobile app's security like an expert penetration tester. Real device testing, intelligent vulnerability discovery, and comprehensive evidence collection.
Detecting root, emulator, and security bypass attempts
The AppAudix AI model reasons about your app's security like an expert, adapting its testing strategy based on what it discovers.
Tests run on real physical devices (for ARM-only Android and jailbroken iOS) and hardened emulators, with Frida instrumentation simulating actual attacker techniques.
Every finding includes screenshots, runtime logs, and detailed reproduction steps for your security team.
Our autonomous security agent runs through a comprehensive testing methodology, adapting its approach based on your app's unique characteristics.
Your app is installed on a real Android emulator with full system access. The AppAudix AI agent launches your app and begins reconnaissance.
Uses ADB for app installation and activity management. The emulator runs a full Android system with Frida server for runtime instrumentation.
The AI analyzes your app's structure, identifies security-relevant components, and creates a customized testing plan based on detected features.
Combines static analysis results with dynamic app exploration. Identifies activities, services, broadcast receivers, and content providers.
Specialized Frida scripts are injected at runtime to test security controls. The AI interacts with your app like a real attacker would.
Frida scripts hook into security-critical functions, bypass detection mechanisms, and capture runtime behavior. Screenshots document each test.
Every test captures detailed evidence including screenshots, function call logs, and security bypass results for comprehensive documentation.
Evidence is stored with timestamps and correlated with specific tests. Frida output is parsed for security-relevant findings.
Findings are categorized by severity with clear remediation guidance. The report maps issues to compliance frameworks like OWASP MASVS.
Each finding includes CWE/OWASP references, reproduction steps, and code-level remediation recommendations.
The AppAudix AI tests 13+ security control categories using specialized Frida scripts and intelligent app interaction.
See how AI-powered testing compares to traditional manual penetration testing engagements.
| Feature | Traditional Pentest | AppAudix AI |
|---|---|---|
| Testing Approach | Manual testing by security consultants | Autonomous AI-driven testing with human-level reasoning |
| Time to Results | 2-4 weeks | Minutes to hours |
| Consistency | Varies by tester expertise | Consistent, repeatable methodology |
| Coverage | Limited by time constraints | Comprehensive automated coverage |
| Cost | $10,000 - $50,000+ per engagement | Fraction of traditional cost |
| Frequency | Annual or quarterly | On every release |
AI Penetration Testing is available now for Enterprise customers. Get autonomous security testing that runs alongside every compliance scan.
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