Abstract: A controller for user authentication and access control, configured to: store data representing a graph having: nodes representing data elements associated with accesses made using an access token; and links among the nodes representing connections between the data elements identified in details of the accesses. In response to receiving details of an access made using the access token, the controller updates the graph according to the details and identifies a new connection in the graph resulting from update. The controller communicates with an identity service to verify the association of data elements corresponding to the new connection in the graph. Based on a result of the verification, the controller authenticates the user of the access and/or controls the access.

Abstract: An authentication system for electronic transactions occurring over a computerized network is provided that includes: (a) a transaction authentication system interface operatively coupled to the computerized network for receiving proposed transactions information over the computerized network; and (b) a transaction authentication tool, operatively coupled to the transaction authentication system interface, where the tool includes: an automated anti-fraud analysis component for analyzing transactions information from a plurality of proposed transactions and automatically rejecting a first subset of proposed transactions according to automatic rejection criteria and automatically assigning a second subset of transactions for additional review; and an automated acceptance component for analyzing the second subset of transactions and accepting a third subset of transactions from the second subset based upon automatic accepting criteria.

Abstract: A controller for user authentication and access control, configured to: store data representing a graph having: nodes representing data elements associated with accesses made using an access token; and links among the nodes representing connections between the data elements identified in details of the accesses. In response to receiving details of an access made using the access token, the controller updates the graph according to the details and determines a plurality of measurements of the graph. After computing a score of the graph based on a weighted average of the measurements, the controller authenticates the user of the access and/or controls the access based on the score.

Abstract: A controller for user authentication and access control, configured to: store data representing a graph having: nodes representing data elements associated with accesses made using an access token; and links among the nodes representing connections between the data elements identified in details of the accesses. In response to receiving details of an access made using the access token, the controller updates the graph according to the details and identifies changes in the graph resulting from update. For each of the changes, the controller identifies a set of elements in the graph that are up to a predetermined number of degrees of separate from the change and evaluates the trustworthiness of user identities corresponding to the set of elements identified for the change. Based on the trustworthiness, the controller authenticates the user of the access and/or controls the access.

Abstract: An example merchant fraud system may include an automated system for collecting contextual relationship information, plus a routine for analyzing additional data related to sanctions. The system may also include an automated analysis summary routine for creating condensed information subsets or graphlets containing information about sanction entities, some of which can be entities themselves, organized in a data retrieval system, such that an automated relationship examination system can check data from transactions and automatically identify and flag potentially suspect relationship aspects. The system may issue a fraud warning and may review a flagged transaction cluster, accepting transactions when transaction cluster items do not contain links to a known bad entity. Based on a hit with a suspect entity, the breadth of the examined co-related items may be expanded, and if that expansion results in one or more suspect connections, a transaction is rejected and sent for further review.

Abstract: A controller for user authentication and access control, configured to: store data representing a graph having: nodes representing data elements associated with accesses made using an access token; and links among the nodes representing connections between the data elements identified in details of the accesses. In response to receiving details of an access made using the access token, the controller updates the graph according to the details and identifies a new connection in the graph resulting from update. The controller communicates with an identity service to verify the association of data elements corresponding to the new connection in the graph. Based on a result of the verification, the controller authenticates the user of the access and/or controls the access.

Abstract: In some examples, a computerized sanction screening system may include an automated system for collection of sanction information, and a routine for analyzing additional available data related to sanction information entities. The system may also include an automated analysis summary routine for creating condensed information subsets or graphlets containing relevant information about sanction entities, some of which can be entities themselves, organized in a data retrieval system, such that an automated transaction system can check data from transactions and automatically identify and flag potentially sanctioned transactions. Then upon exceeding a preset contextual limit, a potential blocking warning is issued.

Abstract: An example merchant fraud system may include an automated system for collecting contextual relationship information, plus a routine for analyzing additional data related to sanctions. The system may also include an automated analysis summary routine for creating condensed information subsets or graphlets containing information about sanction entities, some of which can be entities themselves, organized in a data retrieval system, such that an automated relationship examination system can check data from transactions and automatically identify and flag potentially suspect relationship aspects. The system may issue a fraud warning and may review a flagged transaction cluster, accepting transactions when transaction cluster items do not contain links to a known bad entity. Based on a hit with a suspect entity, the breadth of the examined co-related items may be expanded, and if that expansion results in one or more suspect connections, a transaction is rejected and sent for further review.

Abstract: An example merchant fraud system may include an automated system for collecting contextual relationship information, plus a routine for analyzing additional data related to sanctions. The system may also include an automated analysis summary routine for creating condensed information subsets or graphlets containing information about sanction entities, some of which can be entities themselves, organized in a data retrieval system, such that an automated relationship examination system can check data from transactions and automatically identify and flag potentially suspect relationship aspects. The system may issue a fraud warning and may review a flagged transaction cluster, accepting transactions when transaction cluster items do not contain links to a known bad entity. Based on a hit with a suspect entity, the breadth of the examined co-related items may be expanded, and if that expansion results in one or more suspect connections, a transaction is rejected and sent for further review.

Abstract: In some examples, a computerized sanction screening system may include an automated system for collection of sanction information, and a routine for analyzing additional available data related to sanction information entities. The system may also include an automated analysis summary routine for creating condensed information subsets or graphlets containing relevant information about sanction entities, some of which can be entities themselves, organized in a data retrieval system, such that an automated transaction system can check data from transactions and automatically identify and flag potentially sanctioned transactions. Then upon exceeding a preset contextual limit, a potential blocking warning is issued.

Abstract: Systems and methods for assessing and authenticating transactions are disclosed. Some exemplary embodiments may authenticate transactions based at least in part on a comparison of a newly obtained electronic signature associated with a user with a previously obtained electronic signature associated with the user, where a payment instrument presented for use in the transaction is also associated with the user. Exemplary electronic signatures may comprise any information which may identify the user, such as browser fingerprints, computer fingerprints, IP addresses, geographic IP location information, information associated with a payment, and/or a typing patterns.

Abstract: A computerized anti-money-laundering and anti-fraud transaction analysis system may include a computerized cryptocurrency analysis tool system operatively coupled over a computerized network to a cryptocurrency exchange, a cryptocurrency exchange ledger and/or a know-your-customer facility. The computerized cryptocurrency analysis tool may include an automated payment cluster analysis routine for analyzing transaction data for a plurality of proposed cryptocurrency transactions. The transaction data for the plurality of proposed cryptocurrency transactions may be obtained from the cryptocurrency exchange, cryptocurrency ledger and/or the know-your-customer facility. The automated payment cluster analysis routine automatically identifies a cluster of related transactions in the plurality of proposed cryptocurrency transactions based upon an analysis of a plurality of transaction data items associated with each of the proposed cryptocurrency transactions.

Abstract: An authentication system for electronic transactions occurring over a computerized network is provided that includes: (a) a transaction authentication system interface operatively coupled to the computerized network for receiving proposed transactions information over the computerized network; and (b) a transaction authentication tool, operatively coupled to the transaction authentication system interface, where the tool includes: an automated anti-fraud analysis component for analyzing transactions information from a plurality of proposed transactions and automatically rejecting a first subset of proposed transactions according to automatic rejection criteria and automatically assigning a second subset of transactions for additional review; and an automated acceptance component for analyzing the second subset of transactions and accepting a third subset of transactions from the second subset based upon automatic accepting criteria.

Abstract: Systems and methods for assessing and authenticating transactions are disclosed. Some exemplary embodiments may authenticate transactions based at least in part on a comparison of a newly obtained electronic signature associated with a user with a previously obtained electronic signature associated with the user, where a payment instrument presented for use in the transaction is also associated with the user. Exemplary electronic signatures may comprise any information which may identify the user, such as browser fingerprints, computer fingerprints, IP addresses, geographic IP location information, information associated with a payment, and/or a typing patterns.