Mahalanobis Distance is a measure of the distance between a point and a distribution, accounting for correlations among variables and providing a multivariate metric that is scale-invariant. It is particularly useful in identifying outliers in multivariate data and is widely used in fields like multivariate anomaly detection and clustering.