Intelligent test automation refers to the use of artificial intelligence (AI) and machine learning technologies to enhance and streamline software testing practices. By leveraging AI, intelligent test automation tools can automatically generate test scripts, identify high-risk areas for testing, and prioritize testing activities based on historical data and patterns. This approach helps QA teams to improve the efficiency, accuracy, and effectiveness of their testing efforts.

Traditional test automation tools require manual intervention for tasks such as script creation, maintenance, and execution. In contrast, intelligent test automation solutions can analyze and interpret test data in real-time, enabling them to adapt to changing requirements and detect anomalies that may signal defects or vulnerabilities. By incorporating AI-based algorithms into the testing process, organizations can achieve higher test coverage, reduce testing time, and enhance the overall quality of their software products.