AI in software testing uses machine learning (ML), natural language processing (NLP), and predictive analytics to automate, optimize, and enhance the software testing lifecycle. It allows testing platforms to learn from application behavior, adapt to changes, and make intelligent decisions rather than just following predefined scripts. [1, 2]