AI Pentesting Emerges as Cybersecurity's New Frontier

As artificial intelligence becomes core infrastructure across industries, security practices have struggled to keep pace. Unlike traditional software, large language models interpret language probabilistically, creating new vulnerabilities including prompt injection, data leakage, and unintended API actions — especially when AI connects to databases and automated workflows. A growing field of AI penetration testing is emerging to address these risks. Security engineers like Nayan Goel are adapting traditional testing methods to AI environments, contributing to academic research and community standards through organizations like OWASP. The goal is to establish security frameworks before AI vulnerabilities become widespread.