Security testing ensures that the software product or application that has been developed is robust and fully secured and thus it is protected against cyber attacks . To further enhance the performance of security testing , the platform of Artificial Intelligence (AI) and Machine Learning (ML) can be integrated. Through this integration, false positives are reduced and the precision of tests is enhanced. In this article, you will get to know the value of integrating AI and ML platforms in security testing. What is AI-driven security testing? The processes that are used in testing software applications for security vulnerabilities are enhanced and automated by Artificial Intelligence (AI) and Machine Learning (ML) technologies using the AI-driven security testing platform. Intelligent algorithms are used by AI-driven approaches to predict outcomes, learn from data and discover security flaws with greater speed and accuracy. Following are a few key factors that depict the