Abstract: A method (and system) of scoring asset risk including modeling an interdependence of risks of a plurality of entities within a network by modeling the network as a graph connecting different entities, the different entities are selected from a group of a user, a device, a credential, a high-value asset, and an external server, the graph being defined as a set of vertices comprising the user, the device, the credential, the high-value asset, and the external server and a set of edges represented by an N-by-N adjacency matrix with each pair of the entities sharing a relationship and applying a Belief Propagation (BP) algorithm for solving the inference problem over the graph by inferring the risk from the entities own properties and surrounding entities with the shared relationship in the adjacency matrix, the Belief Propagation algorithm obtains risk information related to each entity of the plurality of entities.