Abstract interpretation is a formal method used in computer science to analyze and verify the behavior, properties, and correctness of computer programs. It involves approximating the possible values and behaviors of a program by creating an abstract model of the program's execution. The abstract model consists of a set of abstract values and operations that represent the possible behaviors of the program, allowing for the analysis of complex programs without needing to consider all possible input values and program paths. Abstract interpretation can be used for a variety of purposes, including detecting errors, proving program properties, optimizing code, and performing program transformations. Overall, abstract interpretation helps to make programming languages more reliable, secure, and efficient by providing a systematic framework for reasoning about program behavior.