Abstract: A system for sanitizing an organization's network against attacker breach, including a data collector, gathering information about network hosts, an analyzer constructing the organization's network topology, a machine learning engine categorizing the hosts into organizational units and identifying key assets of the organization, a security rules engine mapping real-time data, and inferring security rules that prescribe on which specific hosts which specific credentials are permitted to be stored, and a user interface including an analyst dashboard enabling an analyst to visualize in real-time activities within the organizations' network, to automatically infer security rules for the network, to activate the security rules in the network, and to eliminate potential attack vectors for which the activated security rules are violated, and an attacker view visualizing the organization's network, identifying security rule violations across the organization's network, and enabling removal of credential-based securit

Abstract: A system for sanitizing an organization's network against attacker breach, including a data collector, gathering information about network hosts, an analyzer constructing the organization's network topology, a machine learning engine categorizing the hosts into organizational units and identifying key assets of the organization, a security rules engine mapping real-time data, and inferring security rules that prescribe on which specific hosts which specific credentials are permitted to be stored, and a user interface including an analyst dashboard enabling an analyst to visualize in real-time activities within the organizations' network, to automatically infer security rules for the network, to activate the security rules in the network, and to eliminate potential attack vectors for which the activated security rules are violated, and an attacker view visualizing the organization's network, identifying security rule violations across the organization's network, and enabling removal of credential-based securit

Abstract: A system for generating and deploying custom deceptions for a network, including an administrator computer for generating custom deception entities (CDEs), each CDE including parameters including inter alia (i) a type of entity, (ii) conditions for deployment of the CDE, and (iii) a deception type, and a management server, comprising an application programming interface for use by the administrator computer to generate CDEs through the medium of a formal language for specifying deceptions, and a translator for translating formal language CDEs to deceptions that are installable in network endpoint computers, wherein the management computer receives a request from a network endpoint computer to retrieve CDEs, selects CDEs that are relevant to the requesting network endpoint computer based on the parameters of the CDE, translates the requested CDEs to installable deceptions, and transmits the installable deceptions to the network endpoint computer for installation thereon.

Abstract: A system for deceiving an attacker who harvests credentials within an enterprise network, including a management server deploying a deceptive agent on an endpoint computer of the enterprise network, the deceptive agent including a hook manager creating system hooks on resources in the endpoint computer that holds valuable credentials, which would be desired by attackers, and a deceptive content provider, generating deceptive content and returning the deceptive content to a malicious process run by an attacker on the endpoint computer, the malicious process making a read request directed to a resource in the endpoint computer that holds valuable credentials, thus making it appear to the attacker that a response is coming from the resource whereas in fact the response is coming from the deceptive agent, when the hook manager hooks the read request.