Abstract: Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Some embodiments involve using continual or periodic data collecting to improve inferential analysis, as well as obtaining circumstantial or inferential information from social networks. Machine learning may be used to improve predicitive capabilities. Some embodiments allow for identification of an entity from circumstantial or inferential information based on the machine learning and comparative analyses.

Abstract: Applying funds is disclosed. A set of interfaces for configuring filtering criteria and receiving user configurations of the filtering criteria is displayed. Fund information pertaining to a fund that is to be applied to one or more receivables under an insurance policy account is received. A set of eligible receivables is identified based on filtering information included in the fund information and a set of preconfigured filtering criteria. A set of ranked receivable partitions to which the fund is applied is established based on a set of preconfigured priority criteria and using the fund information and information associated with the set of eligible receivables. The fund is applied to the ranked receivables partitions according to the rankings.

Abstract: Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Some embodiments include generating a disaster scenario that includes elements of a disaster event, modeling the disaster scenario against a profile of the computer network and the entity, determining theoretical damage based on the modeling, and updating a cyber security policy or a network change to mitigate the theoretical damage.

Abstract: Embodiments of the present technology relate to cyber attack vulnerability analyses. In one embodiment, a method includes determining an external infrastructure of an entity, the external infrastructure including one or more cyber assets utilized by the entity, collecting infrastructure information regarding the one or more cyber assets, performing passive cyber security vulnerability testing on the one or more cyber assets using the collected infrastructure information, and assessing cyber security vulnerabilities of the one or more cyber assets. The method may further include calculating an association score for the one or more cyber assets based on the assessed cyber security vulnerabilities, and automatically recommending, based on the association score, computer network changes to reduce the cyber security vulnerabilities.

Abstract: A technique of configuring insurance policy rate routines includes accessing information representing an insurance product or information representing an insurance policy transaction. It further includes receiving a user input from a user indicating that a rate routine operand is to map to a portion of the information representing the insurance product or a portion of the information representing the insurance policy transaction. It further includes processing the information representing the insurance product or the information representing the insurance policy transaction to obtain one or more appropriate configuration options for the rate routine operand, based at least in part on a context of the rate routine operand. It further includes presenting the one or more appropriate configuration options to the user.

Abstract: A technique of processing insurance-related address information includes receiving a starting address specification. It further includes determining a geocode location that is associated with the starting address specification. It further includes providing display information associated with the geocode. It further includes receiving updated address information that is generated within a display of the display information. It further includes determining a reverse geocode associated with the updated address information.

Abstract: Systems and methods for cyber risk analysis and remediation using network monitored sensors are provided herein. An example system includes one or more data collecting devices deployed within a network that collect entity information and monitor network traffic of the network that is related to security information. The network includes computing systems that are subject to a cyber risk policy having breach parameters defining one or more events that are indicative of a cyber security breach. A cyber security risk assessment and management system is used to automatically detect occurrence of one or more of the events that are indicative of a cyber security breach, automatically determine the breach parameters that apply for the one or more events that occurred, and generates a remediation of cyber security parameters for the network.

Abstract: Managing workflow on a plurality of installed application components that interact with a central hosted component is disclosed. A rule defined on the central hosted component is obtained. A new action item to be executed on an installed application component in the plurality of installed application components is generated at least in part by applying the obtained rule based at least in part on data provided by the installed application component and information that is managed by the central hosted component. The new action item to be executed by the installed application component is communicated. The new action item modifies a workflow on the installed application component without modifying application code on the installed application component.

Abstract: A system for presenting operational data is disclosed. The system includes a storage element to store a plurality of insurance policies and a product designer module to: maintain an insurance product model that specifies possible configurations of insurance policy products associated with the plurality of insurance policies; obtain operational data pertaining to a set of existing insurance transactional data associated with the insurance policies; and present to be displayed: at least a portion of the insurance product model comprising a set of insurance product model elements and at least some of the operational data corresponding to the set of insurance product model elements.

Abstract: Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Various embodiments also include automatically determining, based on the assessed risk, a change or a setting to at least one element of policy criteria of a cyber security policy, automatically recommending, based on the assessed risk, computer network changes to reduce the assessed risk, and providing one or more recommended computer network changes to reduce the assessed risk. Various embodiments further include enactment by the entity of at least one of the one or more of the recommended computer network changes to reduce the assessed risk to the entity, determining that the entity has enacted at least a portion of the recommended computer network changes, and in response, automatically reassessing the risk of a cyber security failure based on the enacted recommended computer network changes.

Abstract: Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Various embodiments also include automatically determining, based on the assessed risk, a change or a setting to at least one element of policy criteria of a cyber security policy, automatically recommending, based on the assessed risk, computer network changes to reduce the assessed risk, and providing one or more recommended computer network changes to reduce the assessed risk. Various embodiments further include enactment by the entity of at least one of the one or more of the recommended computer network changes to reduce the assessed risk to the entity, determining that the entity has enacted at least a portion of the recommended computer network changes, and in response, automatically reassessing the risk of a cyber security failure based on the enacted recommended computer network changes.

Abstract: Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Some embodiments involve using continual or periodic data collecting to improve inferential analysis, as well as obtaining circumstantial or inferential information from social networks. Machine learning may be used to improve predicitive capabilities. Some embodiments allow for identification of an entity from circumstantial or inferential information based on the machine learning and comparative analyses.

Abstract: Generating a filtered view of an insurance product model is disclosed. A master insurance product model comprising a plurality of insurance policy elements is accessed. Each insurance policy element has a set of one or more availability indicators that indicate one or more conditions under which the insurance policy element is available. A specification of a set of filtering criteria specifying at least one value corresponding to at least one of the set of availability indicators is obtained. The master insurance product model is examined using the set of filtering criteria to generate a resulting insurance product model, wherein the resulting insurance product model is used as a basis for generating specific insurance policies. The resulting insurance product model is presented in a display.

Abstract: Embodiments of the present technology relate to cyber attack vulnerability analyses. In one embodiment, a method includes determining an external infrastructure of an entity, the external infrastructure including one or more cyber assets utilized by the entity, collecting infrastructure information regarding the one or more cyber assets, performing passive cyber security vulnerability testing on the one or more cyber assets using the collected infrastructure information, and assessing cyber security vulnerabilities of the one or more cyber assets. The method may further include calculating an association score for the one or more cyber assets based on the assessed cyber security vulnerabilities, and automatically recommending, based on the association score, computer network changes to reduce the cyber security vulnerabilities.

Abstract: A technique of insurance policy includes obtaining a plurality of hierarchical graphs representing a plurality of insurance policies, wherein each of the hierarchical graphs comprises a plurality of insurance policy related objects. It further includes obtaining a set of matching criteria, including a type of insurance related object to be matched and an identifier associated with the type of insurance related object to be matched. It also includes determining whether an insurance related object in one of the plurality of graphs matches another insurance related object in another one of the plurality of graphs using the set of matching criteria.

Abstract: Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Some embodiments include generating a disaster scenario that includes elements of a disaster event, modeling the disaster scenario against a profile of the computer network and the entity, determining theoretical damage based on the modeling, and updating a cyber security policy or a network change to mitigate the theoretical damage.

Abstract: Various embodiments of the present technology include methods of assessing risk of a cyber security failure in one or more computer networks for an entity. Various embodiments include establishing a plurality of proxy connections with entity resources, evaluating performance of the proxy connections, and scoring the proxy connections based on performance. Various embodiments may further include automatically determining, based on the proxy score, a change or setting regarding the proxy connections. Various embodiments may also include automatically recommending, based on the assessed risk, computer network changes for the one or more computer networks to reduce the assessed risk. Some embodiments may include providing recommended computer network and/or policy changes to reduce the assessed risk, determining the entity has enacted some recommended network changes, and in response, automatically reassessing the risk of a cyber security failure based on the enacted recommended computer network changes.

Abstract: Various embodiments of the present technology include methods of assessing risk of a cyber security failure in one or more computer networks for an entity. Various embodiments include establishing a plurality of proxy connections with entity resources, evaluating performance of the proxy connections, and scoring the proxy connections based on performance. Various embodiments may further include automatically determining, based on the proxy score, a change or setting regarding the proxy connections. Various embodiments may also include automatically recommending, based on the assessed risk, computer network changes for the one or more computer networks to reduce the assessed risk. Some embodiments may include providing recommended computer network and/or policy changes to reduce the assessed risk, determining the entity has enacted some recommended network changes, and in response, automatically reassessing the risk of a cyber security failure based on the enacted recommended computer network changes.

Abstract: An insurance policy management computing system (201) stores a legally-binding insurance policy as a read-only document including the complete policy history. To facilitate revisions to the policy, the computing system (201) provides an opportunity (202) to revise an insurance policy and recalls (203) the currently legally-binding insurance policy. Since the legally-binding insurance policy is a read-only document, the computing system (201) uses the legally-binding policy to generate an editable version that is a complete copy of the legally-binding policy. Once the editable version of the insurance policy has been generated, the input revisions can be incorporated into the policy and then, the revised version of the insurance policy is saved as a read-only, now-current version of the insurance policy. The new legally-binding insurance policy has a new creation and effective dates of the various policy elements.

Abstract: Generating a quote for a policy is disclosed. An indication of an insurance policy to be quoted is received. An appropriate composite ratebook to apply to the insurance policy to be quoted is determined. The composite ratebook has been previously configured to be associated with a particular set of one or more configuration parameters, one or more rate routines, and one or more rate tables. A rate routine associated with the determined composite ratebook is applied to a coverage in the policy to be quoted.