AI-driven testing refers to the use of machine learning algorithms and AI-powered tools to automate and optimize software testing processes.AI-powered testing brings benefits such as self-healing test scripts, predictive analytics for defect detection, and autonomous bug detection.Key benefits of AI-driven testing include faster test execution, improved accuracy, and better test coverage.Popular AI-driven testing tools include Keploy, Testim, Applitools, and Mabl.