Abstract: Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

Abstract: Embodiments of the present invention provide systems and methods for automated and intelligent analysis of information. The system receives interaction data, interaction metadata, and external information in order to identify parties of interactions, subjects of interactions, and infer relationships between parties and subjects based on the content, context, frequency, and amount of available interaction data. Weighted score scores are generated and used to rank the inferred relationships and determined relevance between parties and subjects. This data may be stored in a graphical database and later used to response to user data queries to facilitate collaboration.

Abstract: Aspects of the disclosure relate to a cognitive automation based compliance management system. A computing platform may receive, via a network, an alert notification indicative of a change to a legal framework applicable to an enterprise organization. Subsequently, the computing platform may, in response to the alert notification, detect a task that may be impacted by the change. Then, the computing platform may, upon detecting the task, identify at least one task parameter associated with the task. Then, the computing platform may compare the at least one task parameter with the change to determine whether the task is impacted by the change. Subsequently, the computing platform may, upon a determination that the task is impacted by the change, recommend, via the network, one or more actions associated with the task.

Abstract: Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

Abstract: Embodiments of the present invention provide a system for performing analysis and generating remediation estimations for user interfaces associated with software applications. The system is configured for crawling one or more software applications associated with an entity, identifying one or more user interface elements associated with the one or more software applications, comparing and analyzing the one or more user interface elements with one or more standards stored in a data repository, and generating one or more remediation estimations associated with modifying the one or more user interface elements to meet the one or more standards based on comparing and analyzing the one or more user interface elements with the one or more standards.

Abstract: Typically, a business desires to track and monitor all applications run on its servers. Nonetheless, one or more unauthorized applications may be running on the business's servers, exposing the business to potential regulatory liability and security breaches. Apparatus and methods are provided for isolating and disabling one or more unauthorized applications running on a server. The apparatus may comprise a system including a content-filtering web proxy server configured to filter outgoing requests and data associated with the requests. The system may also include a remediation framework configured to monitor request data in a proxy log stored by the proxy server. The remediation framework may be triggered to perform remedial action when the remediation framework determines that a request and associated data, as stored in the proxy log, meets predetermined conditions. The remediation framework, when triggered, may execute steps to truncate functionality of the unauthorized applications.

Abstract: Aspects of the disclosure relate to processing systems that implement an enhanced reality device to facilitate transactions at a screen-less automated teller machine (ATM). A computing platform may receive a request to initiate a transaction with a screen-less automated ATM. Based on the request to initiate the transaction, the computing platform may send pre-transaction interface information and commands directing the enhanced reality device to generate a pre-transaction interface. The computing platform may receive an authentication request from the screen-less ATM indicating its availability and requesting authentication information. In response to validating the authentication information, the computing platform may generate transaction interface information. The computing platform may send the transaction interface information to the enhanced reality device. The computing platform may receive a transaction completion indication from the screen-less ATM.

Abstract: A system for aggregating sentiment analysis of communications between a plurality of entity groups is provided. The system may include a plurality of entity groups. Each entity group may include one entity, two entities or a plurality of entities. The system may include a plurality of communications. Each of the communications may be transmitted from a first entity. A first entity group may include the first entity. The plurality of entity groups may include the first entity group. Each of the communications may be transmitted to a second entity. The second entity may be included in a second entity group. The second entity group may be included in the plurality of entity groups. The system may also include a sentiment score determination module. The sentiment score determination module may determine an aggregate sentiment score for the plurality of communications. The sentiment score may determine a communication threat level.

Abstract: Aspects of the disclosure relate to optimizing authentication and management of wireless devices in zero trust computing environments. In some embodiments, a computing platform may receive, from a user computing device, a connection request. Subsequently, the computing platform may generate, using an artificial-intelligence engine, a profile for the connection request. Based on the profile for the connection request generated using the artificial-intelligence engine, the computing platform may determine that the connection request is valid. In response to determining that the connection request is valid, the computing platform may establish a connection with the user computing device. Based on establishing the connection with the user computing device, the computing platform may assign an identity to the user computing device.

Abstract: Aspects of the disclosure relate to a system for amalgamating a plurality of graphs. The system may include a set of graphs. A user may input search criteria via a user interface (“UI”) module. The system may search the set of graphs for a subset of qualifying graphs that satisfy the search criteria. The subset of graphs may be merged into an amalgamated graph. Merging the graphs may include superimposing the qualifying graphs over each other at a locus. The locus may be a node or a sub-graph. The amalgamated graph may be displayed via the UI module.

Abstract: Email metadata, and in some embodiments other secondary data, is analyzed to identify users of interest defined as having knowledge or expertise in a subject matter. Specifically, a corpus of email metadata is analyzed to determine, at least, which subject matters are associated with users, which users received or transmitted subject matter-specific emails, the distribution groups to which users, and any other relevant email metadata. In additional embodiments, secondary data other than email metadata is also analyzed and used to identify the users of interest. The analyzed email metadate, and in some embodiments the secondary data, is used to render reputation indicator(s) for each user that indicate a level of knowledge/expertise that the user possesses on subject matter(s). A requester provides input criteria including the subject matter, and, in response, is presented a ranked user listing that is ranked based on the level of reputation indictor.

Abstract: Aspects of the disclosure relate to searching a dual database graph. The dual database graph is resident on a dual database graph platform. The platform includes two or more nodes interconnected by one or more edges. The graph database stores graph data corresponding to the graph(s) and a relational database for storing metadata corresponding to the graph(s). The method includes receiving as input a search criterion. The search criterion may include a plurality of data points corresponding to a relational database node profile or a relational database subgraph profile. The platform may search the relational database for a subset of graphs that each includes a relational database node or a relational database subgraph that matches the node profile or subgraph profile of the search criterion. The platform may then retrieve a relational database node or a relational database subgraph that matches the node profile or subgraph profile.

Abstract: Aspects of the disclosure relate to searching a dual database graph. The dual database graph is resident on a dual database graph platform. The platform includes two or more nodes interconnected by one or more edges. The graph database stores graph data corresponding to the graph(s) and a relational database for storing metadata corresponding to the graph(s). The method includes receiving as input a search criterion. The search criterion may include a plurality of data points corresponding to a relational database node profile or a relational database subgraph profile. The platform may search the relational database for a subset of graphs that each includes a relational database node or a relational database subgraph that matches the node profile or subgraph profile of the search criterion. The platform may then retrieve a relational database node or a relational database subgraph that matches the node profile or subgraph profile.

Abstract: A method for analyzing communications on the internet to identify a probability of an occurrence of an anomalous event relating to a pre-determined entity is provided. The method may include searching on the internet, to identify communications comprising negative sentiment associated with the pre-determined entity. When identified, the method may include further searching for communications including data regarding a physical location and an intended action, both being associated with the pre-determined entity. When one or more instances of these communications are identified, the method may include activating smart sensors embedded within proximity to the identified physical location to capture non-identifiable data and transmit the captured data to a data analysis engine to identify and confirm a probability of the occurrence of the anomalous event.

Abstract: A system for authorizing an electronic transaction in an augmented reality environment comprises an augmented reality user device and an authentication server. The augmented reality user device includes a display that overlays virtual objects onto a field of view of the user. The user device receives a request to verify information about a payment card used in an electronic transaction. The request includes a virtual authentication object, which is a virtual representation of an object capable of being manipulated by the user in a particular sequence to enter an authentication code. The user device displays the virtual authentication object to the user and detects gestures performed on the virtual authentication object. The user device sends the detected gestures to the authentication server. The authentication server determines the authentication code using the virtual authentication object and the detected gestures, and uses it to authorize the transaction.

Abstract: Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

Abstract: Typically, a business desires to track and monitor all applications run on its servers. Nonetheless, one or more unauthorized applications may be running on the business's servers, exposing the business to potential regulatory liability and security breaches. Apparatus and methods are provided for isolating and disabling one or more unauthorized applications running on a server. The apparatus may comprise a system including a content-filtering web proxy server configured to filter outgoing requests and data associated with the requests. The system may also include a remediation framework configured to monitor request data in a proxy log stored by the proxy server. The remediation framework may be triggered to perform remedial action when the remediation framework determines that a request and associated data, as stored in the proxy log, meets predetermined conditions. The remediation framework, when triggered, may execute steps to truncate functionality of the unauthorized applications.

Abstract: Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

Abstract: Typically, a business desires to track and monitor all applications run on its servers. Nonetheless, one or more unauthorized applications may be running on the business's servers, exposing the business to potential regulatory liability and security breaches. Apparatus and methods are provided for isolating and disabling one or more unauthorized applications running on a server. The apparatus may comprise a system including a content-filtering web proxy server configured to filter outgoing requests and data associated with the requests. The system may also include a remediation framework configured to monitor request data in a proxy log stored by the proxy server. The remediation framework may be triggered to perform remedial action when the remediation framework determines that a request and associated data, as stored in the proxy log, meets predetermined conditions. The remediation framework, when triggered, may execute steps to truncate functionality of the unauthorized applications.

Abstract: Typically, a business desires to track and monitor all applications run on its servers. Nonetheless, one or more unauthorized applications may be running on the business's servers, exposing the business to potential regulatory liability and security breaches. Apparatus and methods are provided for isolating and disabling one or more unauthorized applications running on a server. The apparatus may comprise a system including a content-filtering web proxy server configured to filter outgoing requests and data associated with the requests. The system may also include a remediation framework configured to monitor request data in a proxy log stored by the proxy server. The remediation framework may be triggered to perform remedial action when the remediation framework determines that a request and associated data, as stored in the proxy log, meets predetermined conditions. The remediation framework, when triggered, may execute steps to truncate functionality of the unauthorized applications.