Abstract: A system determines a baseline cyberthreat-risk score for a user, and displays the baseline cyberthreat-risk score via a user interface. The system presents at least one cyberthreat-education activity via the user interface, and receives, via the user interface, at least one user input associated with the presented at least one cyberthreat-education activity. The system generates an updated cyberthreat-risk score at least in part by updating the baseline cyberthreat-risk score based at least in part on the user input, and displays the updated cyberthreat-risk score via the user interface.

Abstract: A system determines a baseline cyberthreat-risk score for a user, and displays the baseline cyberthreat-risk score via a user interface. The system presents at least one cyberthreat-education activity via the user interface, and receives, via the user interface, at least one user input associated with the presented at least one cyberthreat-education activity. The system generates an updated cyberthreat-risk score at least in part by updating the baseline cyberthreat-risk score based at least in part on the user input, and displays the updated cyberthreat-risk score via the user interface.

Abstract: Systems and techniques for centralized threat intelligence are described herein. A connection may be established to a plurality of threat data sources. An anonymized set of threat data may be obtained by application of a set of privacy rules to the threat data from the plurality of threat data. A threat database may be populated with the anonymized set of threat data. A registration request may be received for a user of a device. A unique user identifier may be assigned for the user and a unique device identifier may be assigned for the device. A threat model may be generated based on a set of the characteristics from the threat database. A set of data access attributes may be received for a data access request. The data access request may be blocked based on an evaluation of the data access attributes using the threat model.

Abstract: Systems and techniques for centralized threat intelligence are described herein. A connection may be established to a plurality of threat data sources. An anonymized set of threat data may be obtained by application of a set of privacy rules to the threat data from the plurality of threat data. A threat database may be populated with the anonymized set of threat data. A registration request may be received for a user of a device. A unique user identifier may be assigned for the user and a unique device identifier may be assigned for the device. A threat model may be generated based on a set of the characteristics from the threat database. A set of data access attributes may be received for a data access request. The data access request may be blocked based on an evaluation of the data access attributes using the threat model.

Abstract: Disclosed herein are systems and methods for establishing, using, and recovering universal digital identifiers. In an embodiment, a system establishes a universal identifier (ID) associated with a user and a device of the user. The universal ID is universal with respect to a plurality of distinct entities, has at least a suspended state and an unsuspended state, and initially is in the unsuspended state. The system transmits the universal ID to the device of the user. Thereafter, the system detects an ID-suspension event in connection with the universal ID, and responsively suspends the universal ID, including placing the universal ID in the suspended state. After suspending the universal ID, the system completes an ID-recovery process for the universal ID, and responsively unsuspends the universal ID, including placing the universal ID in the unsuspended state.

Abstract: Systems and techniques for centralized threat intelligence are described herein. A connection may be established to a plurality of threat data sources. An anonymized set of threat data may be obtained by application of a set of privacy rules to the threat data from the plurality of threat data. A threat database may be populated with the anonymized set of threat data. A registration request may be received for a user of a device. A unique user identifier may be assigned for the user and a unique device identifier may be assigned for the device. A threat model may be generated based on a set of the characteristics from the threat database. A set of data access attributes may be received for a data access request. The data access request may be blocked based on an evaluation of the data access attributes using the threat model.

Abstract: Systems and techniques for centralized threat intelligence are described herein. A connection may be established to a plurality of threat data sources. An anonymized set of threat data may be obtained by application of a set of privacy rules to the threat data from the plurality of threat data. A threat database may be populated with the anonymized set of threat data. A registration request may be received for a user of a device. A unique user identifier may be assigned for the user and a unique device identifier may be assigned for the device. A threat model may be generated based on a set of the characteristics from the threat database. A set of data access attributes may be received for a data access request. The data access request may be blocked based on an evaluation of the data access attributes using the threat model.

Abstract: Disclosed herein are systems and methods for establishing, using, and recovering universal digital identifiers. In an embodiment, a system establishes a universal identifier (ID) associated with a user and a device of the user. The universal ID is universal with respect to a plurality of distinct entities, has at least a suspended state and an unsuspended state, and initially is in the unsuspended state. The system transmits the universal ID to the device of the user. Thereafter, the system detects an ID-suspension event in connection with the universal ID, and responsively suspends the universal ID, including placing the universal ID in the suspended state. After suspending the universal ID, the system completes an ID-recovery process for the universal ID, and responsively unsuspends the universal ID, including placing the universal ID in the unsuspended state.