Abstract: A resource security system may generate access rules for use in determining whether to grant or deny a request for access to a resource. In order to generate the access rules, the resource security system may select certain access request parameters and determine conditions associated with those parameters. The resource security system may generate mutually exclusive segments associated with a condition of each of the parameters. The resource security system may generate independent access rules based on the segments. The resource security system may then evaluate the performance of each of the access rules based on validity information corresponding to previously received access requests that satisfy the conditions of a particular access rule.

Abstract: Embodiments of the invention generally relate to methods and systems for operating authorization rules. An authorization rule has conditions that may be satisfied by an authorization request. A rule is rotated between the first mode and the second mode over a time interval wherein a first set of authorization requests are received. A first subset of the first set of authorization requests may not be rejected. After the first time interval, the authorization requests that were not rejected may be validated through an independent process. An accuracy rate for the rule is determined based on the portion of authorization requests that are valid and satisfied the conditions of the rule.

Abstract: Embodiments of the invention generally relate to methods and systems for operating authorization rules. An authorization rule has conditions that may be satisfied by an authorization request. A rule is rotated between the first mode and the second mode over a time interval wherein a first set of authorization requests are received. A first subset of the first set of authorization requests may not be rejected. After the first time interval, the authorization requests that were not rejected may be validated through an independent process. An accuracy rate for the rule is determined based on the portion of authorization requests that are valid and satisfied the conditions of the rule.

Abstract: A resource security system may generate access rules for use in determining whether to grant or deny a request for access to a resource. In order to generate the access rules, the resource security system may select certain access request parameters and determine conditions associated with those parameters. The resource security system may generate mutually exclusive segments associated with a condition of each of the parameters. The resource security system may generate independent access rules based on the segments. The resource security system may then evaluate the performance of each of the access rules based on validity information corresponding to previously received access requests that satisfy the conditions of a particular access rule.

Abstract: In some embodiments, a resource security system may determine an access request outcome (e.g., accept, reject, or review) for an access request based on access rules. The resource security system may generate and select the access rules to be used for using stability information. For instance, the resource security system may select a training set from the received access requests, e.g., including recently received access requests, and generate a plurality of potential access rules based on the training set. The resource security system may determine and compare the detection performance and the stability performance of the potential access rules. The resource security system may select the best performing potential access rules to be used in operation for determining the outcome of access requests.

Abstract: In some embodiments, a resource security system may determine an access request outcome (e.g., accept, reject, or review) for an access request based on access rules. The resource security system may generate and select the access rules to be used for using stability information. For instance, the resource security system may select a training set from the received access requests, e.g., including recently received access requests, and generate a plurality of potential access rules based on the training set. The resource security system may determine and compare the detection performance and the stability performance of the potential access rules. The resource security system may select the best performing potential access rules to be used in operation for determining the outcome of access requests.

Abstract: A data structure provides reliable data allowing a security application to detect potential instances of fraudulent use of a payment account. The data structure can be generated using data elements associated with transactions from new authentication requests in a transaction. Once the data structure is generated, clusters within the data structure can be associated with legitimate authentication requests or potentially fraudulent authentication requests. A baseline cluster can be identified from the data structure and used to determine whether the new incoming authentication requests are legitimate or potentially fraudulent.

Abstract: A resource security system may generate access rules for use in determining whether to grant or deny a request for access to a resource. In order to generate the access rules, the resource security system may select certain access request parameters and determine conditions associated with those parameters. The resource security system may generate mutually exclusive segments associated with a condition of each of the parameters. The resource security system may generate independent access rules based on the segments. The resource security system may then evaluate the performance of each of the access rules based on validity information corresponding to previously received access requests that satisfy the conditions of a particular access rule.

Abstract: In some embodiments, a resource security system may determine an access request outcome (e.g., accept, reject, or review) for an access request based on access rules. The resource security system may generate and select the access rules to be used for using stability information. For instance, the resource security system may select a training set from the received access requests, e.g., including recently received access requests, and generate a plurality of potential access rules based on the training set. The resource security system may determine and compare the detection performance and the stability performance of the potential access rules. The resource security system may select the best performing potential access rules to be used in operation for determining the outcome of access requests.

Abstract: In some embodiments, a resource security system may determine an access request outcome (e.g., accept, reject, or review) for an access request based on access rules. The resource security system may generate and select the access rules to be used for using stability information. For instance, the resource security system may select a training set from the received access requests, e.g., including recently received access requests, and generate a plurality of potential access rules based on the training set. The resource security system may determine and compare the detection performance and the stability performance of the potential access rules. The resource security system may select the best performing potential access rules to be used in operation for determining the outcome of access requests.

Abstract: Embodiments of the invention generally relate to methods and systems for operating authorization rules. An authorization rule has conditions that may be satisfied by an authorization request. A rule is rotated between the first mode and the second mode over a time interval wherein a first set of authorization requests are received. A first subset of the first set of authorization requests may not be rejected. After the first time interval, the authorization requests that were not rejected may be validated through an independent process. An accuracy rate for the rule is determined based on the portion of authorization requests that are valid and satisfied the conditions of the rule.

Abstract: Systems and methods for testing new profiles and rules against past transaction data in a quick manner are provided. A set of transactions is identified by a merchant based on a selection criterion that is replayed against the new profile. Results of the replay are recorded and compared against the original results obtained from applying an existing profile to the same set of transaction data. A tic-tac-toe report is generated for the merchant showing shifts in transaction results between the existing profile and the new profile. Embodiments of the invention further allow merchants to generate multiple scores, in parallel, against different transaction models using knobs or hedges.

Abstract: Embodiments of the invention are directed to computer that can utilize a first computer and a second computer. The first computer may determine a first fraud score based on transaction data. If the first fraud score is indeterminate, the transaction may be assigned to a transaction review queue. If the subsequent review takes too long to complete, then a second computer may be used to compute a second fraud score to determine an outcome for the transaction.

Abstract: In an embodiment, a data processing method comprises obtaining a plurality of first transaction data items for a proposed online credit card purchase transaction that has been recommended for review; obtaining a plurality of second transaction data items for a set of similar past online credit card purchase transactions, wherein each member of the set has one or more transaction feature values that are similar to the transaction data items of the proposed online credit card purchase transaction, and a decision value specifying whether the member was accepted or rejected by a reviewer; obtaining a stored data model of features, feature values, transaction acceptance decisions and rejection decisions of the reviewer based at least in part on the set, determining, based on applying the first transaction data items to the stored data model and a subsequent query to the database among more recent transactions that were not included during model construction, a likelihood value of a particular decision of whether t

Abstract: Embodiments of the invention relate to methods, apparatuses, and systems for performing, creating, generating, and displaying transaction scorecards related to fraud evaluations of transactions. Methods may include determining if one or more preselected rules are triggered by transaction data associated with a transaction, determining a trigger score for each of the preselected rules, adding the trigger score for each of the preselected rules to a profile score, applying the profile score to at least one transaction decision rule, and displaying transaction evaluation results in a transaction scorecard. Additionally, some embodiments of the invention may combine a centralized multiple merchant fraud model provided by a merchant processor and a merchant customized model, to a produce a hybrid scorecard model. The respective scores of the multiple merchant fraud model and the merchant customized model may be weighted for further customization.

Abstract: In an embodiment, a data processing method comprises obtaining a plurality of first transaction data items for a proposed online credit card purchase transaction that has been recommended for review; obtaining a plurality of second transaction data items for a set of similar past online credit card purchase transactions, wherein each member of the set has one or more transaction feature values that are similar to the transaction data items of the proposed online credit card purchase transaction, and a decision value specifying whether the member was accepted or rejected by a reviewer; obtaining a stored data model of features, feature values, transaction acceptance decisions and rejection decisions of the reviewer based at least in part on the set, determining, based on applying the first transaction data items to the stored data model and a subsequent query to the database among more recent transactions that were not included during model construction, a likelihood value of a particular decision of whether t

Abstract: In an embodiment, a data processing method comprises obtaining a plurality of first transaction data items for a proposed online credit card purchase transaction that has been recommended for review; obtaining a plurality of second transaction data items for a set of similar past online credit card purchase transactions, wherein each member of the set has one or more transaction feature values that are similar to the transaction data items of the proposed online credit card purchase transaction, and a decision value specifying whether the member was accepted or rejected by a reviewer; obtaining a stored data model of features, feature values, transaction acceptance decisions and rejection decisions of the reviewer based at least in part on the set, determining, based on applying the first transaction data items to the stored data model and a subsequent query to the database among more recent transactions that were not included during model construction, a likelihood value of a particular decision of whether t