A Markov Blanket is a set of nodes in a Bayesian network that isolates a node from the rest of the network, making it conditionally independent from all other nodes given its Markov Blanket. It consists of the node's parents, its children, and its children's other parents, encapsulating all the information needed to predict the node's behavior within the network.