AI-Driven Cybersecurity Testing and Intelligent Quality Assurance for Modern Mobile Applications
Abstract
The use of mobile apps has changed the nature of cyber attacks and their conventional testing and quality assurance policies, might not prove efficient in realizing the new vulnerabilities and offer a guarantee of the reliable application performance. The study presents a cybersecurity testing and smart quality assurance model that was developed with the help of artificial intelligence to combine AI, machine learning, and automated security testing, as well as intelligent quality testing in one mobile application testing life cycle, the AI-CTIQAF. The framework is separated into five main layers, which includes: data collection and preprocessing, AI based vulnerability detection, intelligent test-case generation, risk-aware quality assessment and continuous monitoring and feedback. Using machine learning models will perform the analysis of application behavior, application code, network interactions and previous test results to learn about the possible security vulnerabilities and prioritize high-risk test cases as well. Test generation Test generation: The test generation dynamically supplies usable test cases of functional, performance, usability and security tests and an intelligent decision engine that matches the vulnerabilities found with quality indicators to facilitate adaptive testing. The suggested framework enables continuous validation of the security during both the application development and deployment and eliminates the necessity to humanly test it along with improving defect detection, prioritization of risks, and overall reliability of the software. The study establishes an extendable methodology of incorporating cybersecurity and quality assurance to enable safe, robust and reliable modern-day mobile applications.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 8 No. 6 (2025): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
15466-15477 |
Published |
November 18, 2025 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Dr. Alex Mathew (%2025). AI-Driven Cybersecurity Testing and Intelligent Quality Assurance for Modern Mobile Applications. International Journal of Science, Research and Technology , Vol. 8 No. 6 (2025): International Journal of Science, Research and Technology (IJSRAT) , pp. 15466-15477. https://doi.org/10.15662/IJSRAT.2025.0806022 |
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