Abstract: In an embodiment, a management system obtains a criticality rules table that includes a plurality of rules mapped to corresponding criticality scores indicative of a level of risk in the event that an associated asset of a managed network is compromised by a third party. The one embodiment, the criticality rules table is updated based upon machine learning and/or feedback from an operator of the managed network. In another embodiment, the criticality rules table is used to assign one or more criticality scores to one or more assets based on one or more attributes of one or more assets, and the criticality rules table.

Abstract: Techniques, methods and/or apparatuses are disclosed that enable detection of an operating system of a host. Through the disclosed techniques, an operating system detection model, which may be a form of a machine learning model, may be trained to detect operating system. The operating system detection model may be provided to an operating system detector to detect operating system of a host utilizing transport layer probes without the need to have credentialed access to the host.

Abstract: In an illustrative embodiment, methods and systems for identifying prospective new clients based upon review of current clients include accessing a book of business of a user of a transactional platform to identify current clients, identifying, key terms relevant to each of the clients, automatically performing Internet searches, each search using different groupings of the key terms, automatically deriving from web sites of the search results information regarding a number of prospects, and presenting prospect information to the user. The key terms may be identified through performing web searches and web scraping of online information related to the current clients. The clients may be categorized based upon organizational attributes prior to searching. An initial set or sets of key terms may be filtered through performing a number of data analyses on the key terms.

Abstract: Techniques, methods and/or apparatuses are disclosed that enable detection of an operating system of a host. Through the disclosed techniques, an operating system detection model, which may be a form of a machine learning model, may be trained to detect operating system. The operating system detection model may be provided to an operating system detector to detect operating system of a host utilizing transport layer probes without the need to have credentialed access to the host.

Abstract: In an embodiment, a management system obtains a criticality rules table that includes a plurality of rules mapped to corresponding criticality scores indicative of a level of risk in the event that an associated asset of a managed network is compromised by a third party. The one embodiment, the criticality rules table is updated based upon machine learning and/or feedback from an operator of the managed network. In another embodiment, the criticality rules table is used to assign one or more criticality scores to one or more assets based on one or more attributes of one or more assets, and the criticality rules table.

Abstract: In an embodiment, a management system obtains a criticality rules table that includes a plurality of rules mapped to corresponding criticality scores indicative of a level of risk in the event that an associated asset of a managed network is compromised by a third party. The one embodiment, the criticality rules table is updated based upon machine learning and/or feedback from an operator of the managed network. In another embodiment, the criticality rules table is used to assign one or more criticality scores to one or more assets based on one or more attributes of one or more assets, and the criticality rules table.

Abstract: In an illustrative embodiment, systems and methods for generating data metrics and relationship analysis from an organization's electronic communications archives include pre-processing the electronic communications into a consistent, workable format, including filtering the data to remove irrelevant messages. Machine learning models may be applied to support automatic identification of relevant message content for data analytics. The systems and methods may link the electronic communications with transaction records of a transactional platform and analyze the communications traffic in view of transactional patterns and outcomes. Communications between parties may be analyzed to identify timings and patterns, plus correlations between electronic communication patterns and business outcomes.

Abstract: In an illustrative embodiment, methods and systems for identifying prospective new clients based upon review of current clients include accessing a book of business of a user of a transactional platform to identify current clients, identifying, key terms relevant to each of the clients, automatically performing Internet searches, each search using different groupings of the key terms, automatically deriving from web sites of the search results information regarding a number of prospects, and presenting prospect information to the user. The key terms may be identified through performing web searches and web scraping of online information related to the current clients. The clients may be categorized based upon organizational attributes prior to searching. An initial set or sets of key terms may be filtered through performing a number of data analyses on the key terms.

Abstract: In an illustrative embodiment, systems and methods for generating data metrics and relationship analysis from an organization's electronic communications archives include pre-processing the electronic communications into a consistent, workable format, including filtering the data to remove irrelevant messages. Machine learning models may be applied to support automatic identification of relevant message content for data analytics. The systems and methods may link the electronic communications with transaction records of a transactional platform and analyze the communications traffic in view of transactional patterns and outcomes. Communications between parties may be analyzed to identify timings and patterns, plus correlations between electronic communication patterns and business outcomes.

Abstract: In an embodiment, a management system obtains a criticality rules table that includes a plurality of rules mapped to corresponding criticality scores indicative of a level of risk in the event that an associated asset of a managed network is compromised by a third party. The one embodiment, the criticality rules table is updated based upon machine learning and/or feedback from an operator of the managed network. In another embodiment, the criticality rules table is used to assign one or more criticality scores to one or more assets based on one or more attributes of one or more assets, and the criticality rules table.

Abstract: In an illustrative embodiment, methods and systems for identifying prospective new clients based upon review of current clients include accessing a book of business of a user of a transactional platform to identify current clients, identifying, key terms relevant to each of the clients, automatically performing Internet searches, each search using different groupings of the key terms, automatically deriving from web sites of the search results information regarding a number of prospects, and presenting prospect information to the user. The key terms may be identified through performing web searches and web scraping of online information related to the current clients. The clients may be categorized based upon organizational attributes prior to searching. An initial set or sets of key terms may be filtered through performing a number of data analyses on the key terms.

Abstract: In an illustrative embodiment, methods and systems for identifying prospective new clients based upon review of current clients include accessing a book of business of a user of a transactional platform to identify current clients, identifying, key terms relevant to each of the clients, automatically performing Internet searches, each search using different groupings of the key terms, automatically deriving from web sites of the search results information regarding a number of prospects, and presenting prospect information to the user. The key terms may be identified through performing web searches and web scraping of online information related to the current clients. The clients may be categorized based upon organizational attributes prior to searching. An initial set or sets of key terms may be filtered through performing a number of data analyses on the key terms.

Abstract: In an illustrative embodiment, systems and methods for generating data metrics and relationship analysis from an organization's electronic communications archives include pre-processing the electronic communications into a consistent, workable format, including filtering the data to remove irrelevant messages. Machine learning models may be applied to support automatic identification of relevant message content for data analytics. The systems and methods may link the electronic communications with transaction records of a transactional platform and analyze the communications traffic in view of transactional patterns and outcomes. Communications between parties may be analyzed to identify timings and patterns, plus correlations between electronic communication patterns and business outcomes.

Abstract: In an illustrative embodiment, systems and methods for identifying properties affected or at risk of being affected by geohazards include obtaining geospatial data representing geographic features and associated geohazard risk with a portion of the features, applying, based on a storage size of the geospatial data, a shape approximation algorithm to geographic shape representations of a geographic area within the geospatial data to reduce the storage size, mapping, to the geospatial data, property data representing a number of manmade features, and adjusting, based on periodically released geospatial data updates accessed from one or more hazard data providers, the geospatial data to incorporate a time element mapping modifications to a portion of elements in the geospatial data, where the resultant geospatial data is maintained in a database for querying to identify impact of geohazards upon property values of a portion of the manmade features.

Abstract: The invention relates to a system for monitoring inactivity or immobility of a person. The invention further relates to monitoring other situations where differing periods of time will need to be accurately monitored over days and or weeks.

Abstract: An animation method in which a user directs the actions of characters on a virtual stage, rather than instructing every individual movement. Such a method of producing an animated video comprises providing a virtual stage; providing templates from which characters can be assembled, each character having a body and limbs, and the templates providing facial features and clothes with differing colours and shapes; providing objects that can be placed on the virtual stage; placing the objects and the characters on the virtual stage; instructing each character as to his emotional state, and as to any required movement; wherein each character continuously and automatically behaves in accordance with the specified emotional state.