Abstract: A method, apparatus and product for assessing security threats from lateral movements and mitigation thereof. The method comprising statically analyzing the network to determine for each asset of a list of assets in a network, potential network lateral movements therefrom to other assets; dynamically analyzing the network to validate each potential network lateral movement identified by the static analysis; generating a graph of network lateral movements, wherein the graph comprises nodes and directed edges, wherein a node of the graph represents an asset of the list of assets, wherein a direct edge of the graph connecting a source node to a target node represents a validated network lateral movement from a source asset, represented by the source node, to a target asset, represented by the target node; and utilizing the graph of network lateral movements to assess security risk to the network.

Abstract: Method, product and apparatus for monitoring for security threats from lateral movements. A method comprises obtaining a graph of network lateral movements, that comprises nodes, representing network assets, and directed edges, representing a network lateral movement from a source asset to a target asset. An event that affects the graph of network lateral movements is detected. The event affects at least one of: the payload utility of the node and the probability of penetration to the node. The graph of network lateral movements is updated based on the event. The updated graph is analyzed to determine one or more mitigation actions to be applied. The one or more mitigation actions are applied automatically, manually or the like.

Abstract: Method, product and apparatus for monitoring for security threats from lateral movements. A method comprises obtaining a graph of network lateral movements, that comprises nodes, representing network assets, and directed edges, representing a network lateral movement from a source asset to a target asset. An event that affects the graph of network lateral movements is detected. The event affects at least one of: the payload utility of the node and the probability of penetration to the node. The graph of network lateral movements is updated based on the event. The updated graph is analyzed to determine one or more mitigation actions to be applied. The one or more mitigation actions are applied automatically, manually or the like.