Advancing Security: Penetration Testing in Web Applications Powered by Artificial Intelligence

Authors

Sandeep Phanireddy

Abstract

Artificial Intelligence brings web applications to a new level of personalization and decision-making. These systems are new and complex but expose them to unique security challenges. Penetration testing (pen-testing) techniques specific to the penetration testing of AI-powered web applications are explored. It describes testing methodologies and available frameworks and tools and discusses the scope of pen-testing to improve security for AI systems and underlying web infrastructures. Illustrative diagrams complement the key insights to explain them.

Keywords

Penetration Testing, AI-Powered Web Applications, Adversarial Attacks, API Security, Model Integrity, Data Poisoning, Vulnerability Assessment, Fuzz Testing, OWASP ZAP, And Cybersecurity Frameworks.

Advancing Security: Penetration Testing in Web Applications Powered by Artificial Intelligence. Sandeep Phanireddy. 2020. IJIRCT, Volume 6, Issue 4. Pages 1-7. https://www.ijirct.org/viewPaper.php?paperId=2502006