Abstract: Aspects of the disclosure relate to multicomputer processing and dissemination of data files. A computing platform having at least one processor, a memory, and a communication interface may search one or more social media platforms for unauthorized dissemination of a data file. The computing platform may correlate a unique identifying feature(s) of the disseminated data file to that of a copy of the data file previously distributed to a linked user account. The computing platform may transmit, via the communication interface, to an administrative computing device, an unauthorized dissemination report which, when processed by the administrative computing device causes a notification to be displayed on the administrative computing device. The notification may identify the linked user account associated with the unauthorized dissemination, the name, content, or general nature of the data file, and/or the social media platform(s) on which the data file was discovered.

Abstract: Aspects of the disclosure relate to multicomputer processing and dissemination of data files. A computing platform having at least one processor, a memory, and a communication interface may search one or more social media platforms for unauthorized dissemination of a data file. The computing platform may correlate a unique identifying feature(s) of the disseminated data file to that of a copy of the data file previously distributed to a linked user account. The computing platform may transmit, via the communication interface, to an administrative computing device, an unauthorized dissemination report which, when processed by the administrative computing device causes a notification to be displayed on the administrative computing device. The notification may identify the linked user account associated with the unauthorized dissemination, the name, content, or general nature of the data file, and/or the social media platform(s) on which the data file was discovered.

Abstract: Aspects of the disclosure relate to multicomputer processing and dissemination of data files. A computing platform having at least one processor, a memory, and a communication interface may search one or more social media platforms for unauthorized dissemination of a data file. The computing platform may correlate a unique identifying feature(s) of the disseminated data file to that of a copy of the data file previously distributed to a linked user account. The computing platform may transmit, via the communication interface, to an administrative computing device, an unauthorized dissemination report which, when processed by the administrative computing device causes a notification to be displayed on the administrative computing device. The notification may identify the linked user account associated with the unauthorized dissemination, the name, content, or general nature of the data file, and/or the social media platform(s) on which the data file was discovered.

Abstract: Aspects of the disclosure relate to validation of software by private and public blockchains. Hashes for known software are stored in a private blockchain. Hashes for unknown software are compared against the known hashes to determine if the software is known, malware free, and/or an authorized copy. Hashes for known good software and/or malware-containing software can be pre-seeded to the blockchains. Unknown software can be tested in sandboxes. Comparison results are stored in new blocks in the private chain and can be propagated out to the public chain anonymously without company attribution or software name disclosure. Validation servers can control the integrity of the blockchains. Updating blockchains may be controlled by requiring agreement of a majority of validation servers. Third parties can access the public chain to evaluate unknown software that they receive to determine if the software is malware free and/or an authorized copy.

Abstract: Arrangements for dynamical travel threat assessment and control are provided. In some examples, a system may receive a request to schedule travel. The request may include one or more aspects. Based on the aspects, threat data may be requested. The threat data may be requested from a plurality of data sources including internal data sources and external data sources. Machine learning may be used to evaluate the threat data to generate or identify one or more potential threats associated with the requested travel. Based on the generated one or more potential threats, one or more actions may be identified. The actions may include completion criteria used to determine whether an action has been completed. The actions may be transmitted to one or more devices for execution. After executing the actions, action response data may be received and compared to the completion criteria to determine whether the requested travel should be authorized or denied.