In the context of Generative Adversarial Networks (GANs), the Discriminator is the component responsible for distinguishing between real and generated data. It evaluates the authenticity of the data produced by the Generator and provides feedback that helps refine and improve the quality of the generated data. The ongoing competition between the Discriminator and Generator drives the iterative process of improving the realism of the generated outputs.