Autonomous verification in test automation refers to the process of automated testing where the testing tool makes decisions independently without human intervention. This technology allows the testing tool to execute test cases, analyze results, and report outcomes without human intervention. By leveraging machine learning algorithms and AI, autonomous verification can improve efficiency and accuracy of test automation processes. It can also help in identifying defects early in the development lifecycle, thereby reducing time and effort required for testing.