Advancing Security: Penetration Testing in Web Applications Powered by Artificial Intelligence
Author(s): Sandeep Phanireddy
Publication #: 2502006
Date of Publication: 11.08.2020
Country: USA
Pages: 1-7
Published In: Volume 6 Issue 4 August-2020
DOI: https://doi.org/10.5281/zenodo.14787314
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.
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