Abstract: Aspects of the disclosure relate to a collaborative verified user platform using distributed ledger technology. A collaborative verified user platform may identify changes to user information stored at a distributed ledger. The platform may retrieve changes from a remote database. The platform may update the distributed ledger based on the changes. The platform may receive, from a second user device, a request to access the user information. The platform may establish a secure channel. The platform may process one or more secure requests associated with a venture corresponding to both the first user device and the second user device. The platform may detect a permission violation. The platform may initiate security actions based on the permission violation. The platform may receive an updated cyber contract corresponding to the user information. The platform may update permissions based on the updated cyber contract.

Abstract: Aspects of the disclosure relate to a collaborative verified user platform using distributed ledger technology. A collaborative verified user platform may receive user information from a first user device. The platform may store the user information to a distributed ledger. The platform may update the distributed ledger based on one or more changes to the user information. The platform may receive a request to access the user information. The platform may determine whether to grant access to the user information based on one or more permissions. The platform may establish a secure channel between a first user device and a second user device. The platform may process secure requests associated with a venture corresponding to both the first user device and to the second user device. The platform may detect a permission violation. The platform may initiate one or more security actions based on the permission violation.

Abstract: Aspects of the disclosure relate to a collaborative verified user platform using distributed ledger technology. A collaborative verified user platform may receive user information from a first user device. The platform may store the user information to a distributed ledger. The platform may update the distributed ledger based on one or more changes to the user information. The platform may receive a request to access the user information. The platform may determine whether to grant access to the user information based on one or more permissions. The platform may establish a secure channel between a first user device and a second user device. The platform may process secure requests associated with a venture corresponding to both the first user device and to the second user device. The platform may detect a permission violation. The platform may initiate one or more security actions based on the permission violation.

Abstract: Arrangements for dynamic generation of interactive fraud mapping interfaces are provided. In some examples, fraud reporting data may be received by a computing platform. The fraud reporting data may include incidents of potentially fraudulent activity reported by a plurality of users. If at least a threshold volume of fraud reporting data is received, the fraud reporting data may be analyzed using a machine learning engine. For instance, the fraud reporting data may be input to the machine learning engine to output one or more compromised or potentially compromised payment terminals, vendor or retail locations, or the like. In some examples, the computing platform may generate an interactive fraud mapping interface that includes an interactive icon associated with each compromised location of the one or more compromised locations. The interactive fraud mapping interface may be transmitted or sent to a user computing device for display.