Abstract: A system is provided for machine-learning based identification and filtering of electronic network communication. In particular, the system may continuously monitor and pull electronic communications data from one or more networked computing systems in an enterprise environment. Based on the electronic communications data, the system may use machine learning algorithms to generate a database of associations between one or more users and one or more topics of interest. The system may then output one or more recommendations to one or more users for transmitting communications associated with the one or more topics of interest. In this way, the system may improve the efficiency of communications received and transmitted within a network.

Abstract: A system is provided for machine-learning based identification and filtering of electronic network communication. In particular, the system may continuously monitor and pull electronic communications data from one or more networked computing systems in an enterprise environment. Based on the electronic communications data, the system may use machine learning algorithms to generate a database of associations between one or more users and one or more topics of interest. The system may then output one or more recommendations to one or more users for transmitting communications associated with the one or more topics of interest. In this way, the system may improve the efficiency of communications received and transmitted within a network.

Abstract: Detecting malicious/spoofed Universal Resource Locators (URLs) and/or files in received electronic mail (i.e., email) and, in response to detection, automatically taking responsive measures to prevent interaction/access to the malicious/spoofed URLs and/or files and/or limit, network-wide, the exposure to the malicious/spoofed URLs and/or files. Valid URLs and/or files are assigned a token, such as an alpha-numeric passcode or the like and the assigned token is verified upon receipt of the email by the intended recipient. In the event that the token cannot be verified or a token is not received for a URL or file, the automated responsive actions ensue.

Abstract: Arrangements for biometric data-based holographic authentication are provided. In some examples, biometric data for a plurality of users may be received. A computing platform may receive a request to process an event. In response to receiving the request to process the event, the computing platform may retrieve biometric data of a requesting user and generate, based on the biometric data, a hologram of the biometric data of the user. In some examples, the hologram may be displayed on a device and provided to an authentication reader device as authentication data. The authentication reader device may capture an image of the hologram and the computing platform may receive the image. The computing platform may compare the captured image of the hologram to the generated hologram to determine whether there is a match. If not, the requested event may be denied. If so, the event may be processed.

Abstract: A computing platform may receive an event processing request. The computing platform may identify, by inputting first communication parameters of the event processing request into a secure communication model, communication validation information for the event processing request. The computing platform may embed, using one or more tonal bits of an audio communication corresponding to the event processing request, the first communication validation information, wherein embedding the first communication validation information generates a secure event communication. The computing platform may send the secure event communication to a recipient user device, where the recipient user device may be configured to verify the secure event communication based on the first communication validation information.

Abstract: Arrangements for steganography-based security document access control are provided. In some examples, a security policy for a document may be generated. The security policy may include identification of one or more users authorized to access the document and one or more response actions to execute upon violation of the security policy. The generated security policy may be embedded in the document using steganography. Accordingly, transmission of the document may include transmission of the security policy with the document. The document may be transmitted to a destination node. A user at the destination node may request access to the document. In response to the request, the security policy embedded in the document may be executed to confirm whether the user is an authorized user. If the user is authorized, access to the document may be enabled. If the user is not authorized, the one or more response actions may be executed.

Abstract: Aspects of the disclosure relate to electronic messaging security. A computing platform may push, to a client device, an electronic messaging plugin configured to validate steganographic modifications, embedded in electronic messages by the computing platform. The computing platform may intercept an electronic message directed to the client device. The computing platform may generate a steganographic modification to the electronic message. The computing platform may embed, in the electronic message, the steganographic modification, resulting in a modified electronic message. The computing platform may send, to the client device, the modified electronic message, where the client device may configured to validate, using the electronic messaging plugin, the steganographic modification prior to launching the modified electronic message at the client device.

Abstract: Aspects of the disclosure relate to electronic messaging security. A computing platform may push, to a client device, an electronic messaging plugin configured to validate steganographic modifications, embedded in electronic messages by the computing platform. The computing platform may intercept an electronic message directed to the client device. The computing platform may generate a steganographic modification to the electronic message. The computing platform may embed, in the electronic message, the steganographic modification, resulting in a modified electronic message. The computing platform may send, to the client device, the modified electronic message, where the client device may configured to validate, using the electronic messaging plugin, the steganographic modification prior to launching the modified electronic message at the client device.

Abstract: Aspects of the disclosure relate to real-time detection of anomalous content in a transmission of textual data. A computing platform may monitor, in real-time and via a computing device, a transmission of textual data from a user device. Then, the computing platform may scan, via the computing device, a content of the textual data. The computing platform may then perform, via the computing device and based on the scanning, textual analysis of the scanned content. Subsequently, the computing platform may detect, in real-time and based on the textual analysis, an anomalous pattern indicative of secure enterprise information. Then, the computing platform may trigger, via the computing device, one or more security actions to prevent the transmission of the secure enterprise information.

Abstract: Aspects of the disclosure relate to computing hardware and software for performing uniform document updates. A computing platform may receive, from a user device, a document change request. The computing platform may authenticate authority of a user of the user device to perform the document change request. Based on authenticating the authority of the user of the user device to perform the document change request, the computing platform may identify storage locations at which documents that are affected by the document change request are located. The computing platform may access the documents at each of the storage locations. The computing platform may scan the documents to identify locations, within the documents, of changes to be made, which may include identifying the locations based on enterprise-adopted change tags. The computing platform may write the changes to the documents at the identified locations based on the enterprise-adopted change tags.

Abstract: Aspects of the disclosure relate to electronic messaging security. A computing platform may push, to a client device, an electronic messaging plugin configured to validate steganographic modifications, embedded in electronic messages by the computing platform. The computing platform may intercept an electronic message directed to the client device. The computing platform may generate a steganographic modification to the electronic message. The computing platform may embed, in the electronic message, the steganographic modification, resulting in a modified electronic message. The computing platform may send, to the client device, the modified electronic message, where the client device may configured to validate, using the electronic messaging plugin, the steganographic modification prior to launching the modified electronic message at the client device.

Abstract: Aspects of the disclosure relate to real-time management of access controls. A computing platform may detect, via the communication interface, a trigger related to an activity of an enterprise user over a network. Then, the computing platform may retrieve, via the communication interface and from the network device, data associated with the activity. The computing platform may then compare, via the computing device, the retrieved data with a central tendency for activities with the network device. Subsequently, the computing platform may identify, based on the comparing, a deviation from the central tendency. Then, the computing platform may adjust, dynamically in real-time and in response to identifying the deviation, an access control or multiple access controls for the enterprise user to the network device.

Abstract: When a system tries to access a network (e.g., another system, an application, data, or the like) at least two-factor authentication may be used to validate the system. At least one authentication factor may include utilizing authentication credentials of the entity or system accessing the network. At least a second authentication factor may include using an environment hash of the system, which is a representation of the configuration (e.g., hardware, software, or the like) on the system trying to access the network. The environment hash may be compared to hash requirements (e.g., authorized environment hashes, unauthorized environment hashes, or the like) to aid in the validation. The system may only access the network when both the authentication credentials and the environment hashes meet requirements.

Abstract: Arrangements for detecting anomalies and dynamically generating a response are presented. In some examples, attribute data including a plurality of source elements may be received. The source element data may be received from a plurality of source computing systems. The attribute data, including the source element data, may be analyzed using machine learning techniques to identify any anomalies in the attribute data. If an anomaly is detected, a notification may be generated including data associated with the anomaly, a user associated with the anomaly and the like. The notification may be transmitted to a computing device for display. In some examples, if an anomaly is detected, data associated with the anomaly may be compared to pre-stored rules to determine whether a pre-stored rule applies to the identified anomaly. If a pre-stored rule applies, an instruction or command may be generated and transmitted to one or more source computing devices or systems.

Abstract: A system is provided for partitioning digital resources using a networked resource platform. In particular, the system may generate digital resources using a customized set of executable code such that each digital resource may comprise one or more digital resource partitions. Each digital resource share may be associated with a cryptographic address. Upon receiving a request from a user to transfer the digital resource partitions, the system may execute various validation checks on the cryptographic address and the digital resource before executing the transfer. In this way, the system provides an efficient way to partition and transfer digital resources.

Abstract: Detecting malicious/spoofed Universal Resource Locators (URLs) and/or files in received electronic mail (i.e., email) and, in response to detection, automatically taking responsive measures to prevent interaction/access to the malicious/spoofed URLs and/or files and/or limit, network-wide, the exposure to the malicious/spoofed URLs and/or files. Valid URLs and/or files are assigned a token, such as an alpha-numeric passcode or the like and the assigned token is verified upon receipt of the email by the intended recipient. In the event that the token cannot be verified or a token is not received for a URL or file, the automated responsive actions ensue.

Abstract: A system is provided for machine-learning based identification and filtering of electronic network communication. In particular, the system may continuously monitor and pull electronic communications data from one or more networked computing systems in an enterprise environment. Based on the electronic communications data, the system may use machine learning algorithms to generate a database of associations between one or more users and one or more topics of interest. The system may then output one or more recommendations to one or more users for transmitting communications associated with the one or more topics of interest. In this way, the system may improve the efficiency of communications received and transmitted within a network.

Abstract: Aspects of the disclosure relate to real-time detection of anomalous content in a transmission of textual data. A computing platform may monitor, in real-time and via a computing device, a transmission of textual data from a user device. Then, the computing platform may scan, via the computing device, a content of the textual data. The computing platform may then perform, via the computing device and based on the scanning, textual analysis of the scanned content. Subsequently, the computing platform may detect, in real-time and based on the textual analysis, an anomalous pattern indicative of secure enterprise information. Then, the computing platform may trigger, via the computing device, one or more security actions to prevent the transmission of the secure enterprise information.

Abstract: Methods, systems, and computing platforms for data communication are disclosed. A computer-data communication based network, including receiving a set of virtual nodes each with a data payload may include an originating node attribute, an infosec data attribute, an behavioral data attribute, a biometric enterprise attribute and at least one data element associated with the originating node attribute. A machine learning module may learn from across multiple of collection points to determine control triggers and control durations. A user anomaly collector/module may be configured to identify an unusual or anomalous usage of an application.

Abstract: Aspects of the disclosure relate to real-time detection of anomalous content in a transmission of textual data. A computing platform may monitor, in real-time and via a computing device, a transmission of textual data from a user device. Then, the computing platform may scan, via the computing device, a content of the textual data. The computing platform may then perform, via the computing device and based on the scanning, textual analysis of the scanned content. Subsequently, the computing platform may detect, in real-time and based on the textual analysis, an anomalous pattern indicative of secure enterprise information. Then, the computing platform may trigger, via the computing device, one or more security actions to prevent the transmission of the secure enterprise information.