Abstract

With web applications increasingly serving as critical infrastructure in the digital world, the need for advanced security measures has never been greater. Traditional Web Application Penetration Testing (WAPT) faces constraints in speed and effectiveness. This research investigates AI-powered WAPT solutions capable of offering adaptive, automated, and self-learning security assessments. By analyzing market trends and future potentials, we explore how AI-driven penetration testing enhances cybersecurity, mitigates risks, and transforms security frameworks to proactively tackle vulnerabilities.