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Artificial Intelligence (AI) and Machine Learning (ML) are crucial in securing mobile, web, and desktop applications. This chapter presents an in-depth analysis of these advancements, offering insights into the future of AI-driven cybersecurity solutions for modern software applications by exploring key cybersecurity threats, including injection attacks, cross-site scripting (XSS), and insecure authentication. It highlights how AI-powered solutions enhance security through intelligent threat detection, automated vulnerability assessment, and adaptive patch management. We also discuss their integration into security tools like antivirus software, IDS/IPS, and firewalls.

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AI for Software Security

  • 章节

  • 发表日期：

    2025年

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  • Dilli Prasad Sharma,
  • Arash Habibi Lashkari,
  • Mahdi Daghmehchi Firoozjaei,
  • Samaneh Mahdavifar,
  • Pulei Xiong

摘要

Artificial Intelligence (AI) and Machine Learning (ML) are crucial in securing mobile, web, and desktop applications. This chapter presents an in-depth analysis of these advancements, offering insights into the future of AI-driven cybersecurity solutions for modern software applications by exploring key cybersecurity threats, including injection attacks, cross-site scripting (XSS), and insecure authentication. It highlights how AI-powered solutions enhance security through intelligent threat detection, automated vulnerability assessment, and adaptive patch management. We also discuss their integration into security tools like antivirus software, IDS/IPS, and firewalls.