The Cauchy Point is an approximation used in trust-region methods for optimization, representing the point along the steepest descent direction that lies on the boundary of the trust region. It provides a computationally efficient way to determine a trial step in iterative optimization algorithms, particularly when the problem is large-scale or the model is linearized.