Abstract: A method for detecting a fraudulent attempt to activate a new PIN, SIM Card or mobile device includes monitoring, at a first processing node associated with a network interconnecting a first network point and a second network point, a mirrored live-data flow of a live data flow passing through the first processing node in a non-intrusive manner that does not affect the first live-data flow passing through the first processing node. The live-data flow comprises data that is in active transmission between the first network point and the second network point and prior to storage of the data in a database. The first processing node detects that a transaction within the monitored live-data flow relates to an activation of the new PIN, SIM card or mobile device and compares the detected transaction to a list of known fraud situations stored in the first processing node to determine if the detected transaction relates to a known fraud situation.

Abstract: A system for monitoring a live-data flow through a network includes at least one server communicating with the network. A processor within each of the at least one server implements a first processing node for monitoring a mirrored live-data flow of the live-data flow passing through at least one selected point within the network in a non-intrusive manner that does not affect the live-data flow passing through the at least one selected point. The first processing node decodes data within the mirrored live-data flow according to each protocol associated with the data. The first processing node detects at least one predetermined or deduced condition defined by at least one of a plurality of applications implemented on a second processing node and executes at least one predetermined or deduced response responsive to an indication of occurrence of the at least one predetermined or deduced condition within the decoded data.

Abstract: A system for monitoring a live-data flow through a network includes at least one server communicating with the network. A processor within each of the at least one server implements a first processing node for monitoring a mirrored live-data flow of the live-data flow passing through at least one selected point within the network in a non-intrusive manner that does not affect the live-data flow passing through the at least one selected point. The first processing node decodes data within the mirrored live-data flow according to each protocol associated with the data. The first processing node detects at least one predetermined or deduced condition defined by at least one of a plurality of applications implemented on a second processing node and executes at least one predetermined or deduced response responsive to an indication of occurrence of the at least one predetermined or deduced condition within the decoded data.

Abstract: A system for monitoring a live-data flow through a network includes at least one server communicating with the network. A processor within each of the at least one server implements a first processing node for monitoring a mirrored live-data flow of the live-data flow passing through at least one selected point within the network in a non-intrusive manner that does not affect the live-data flow passing through the at least one selected point. The first processing node decodes data within the mirrored live-data flow according to each protocol associated with the data. The first processing node detects at least one predetermined or deduced condition defined by at least one of a plurality of applications implemented on a second processing node and executes at least one predetermined or deduced response responsive to an indication of occurrence of the at least one predetermined or deduced condition within the decoded data.

Abstract: A method for detecting a fraudulent attempt to activate a new PIN, SIM Card or mobile device includes monitoring, at a first processing node associated with a network interconnecting a first network point and a second network point, a mirrored live-data flow of a live data flow passing through the first processing node in a non-intrusive manner that does not affect the first live-data flow passing through the first processing node. The live-data flow comprises data that is in active transmission between the first network point and the second network point and prior to storage of the data in a database. The first processing node detects that a transaction within the monitored live-data flow relates to an activation of the new PIN, SIM card or mobile device and compares the detected transaction to a list of known fraud situations stored in the first processing node to determine if the detected transaction relates to a known fraud situation.

Abstract: A system for monitoring a live-data flow through a network includes at least one server communicating with the network. A processor within each of the at least one server implements a first processing node for monitoring a mirrored live-data flow of the live-data flow passing through at least one selected point within the network in a non-intrusive manner that does not affect the live-data flow passing through the at least one selected point. The first processing node decodes data within the mirrored live-data flow according to each protocol associated with the data. The first processing node detects at least one predetermined or deduced condition defined by at least one of a plurality of applications implemented on a second processing node and executes at least one predetermined or deduced response responsive to an indication of occurrence of the at least one predetermined or deduced condition within the decoded data.

Abstract: A method for detecting a fraudulent attempt to activate a new PIN, SIM Card or mobile device includes monitoring, at a first processing node associated with a network interconnecting a first network point and a second network point, a mirrored live-data flow of a live data flow passing through the first processing node in a non-intrusive manner that does not affect the first live-data flow passing through the first processing node. The live-data flow comprises data that is in active transmission between the first network point and the second network point and prior to storage of the data in a database. The first processing node detects that a transaction within the monitored live-data flow relates to an activation of the new PIN, SIM card or mobile device and compares the detected transaction to a list of known fraud situations stored in the first processing node to determine if the detected transaction relates to a known fraud situation.

Abstract: A system for monitoring a live-data flow through a network includes at least one server communicating with the network. A processor within each of the at least one server implements a first processing node for monitoring a mirrored live-data flow of the live-data flow passing through at least one selected point within the network in a non-intrusive manner that does not affect the live-data flow passing through the at least one selected point. The first processing node decodes data within the mirrored live-data flow according to each protocol associated with the data. The first processing node detects at least one predetermined or deduced condition defined by at least one of a plurality of applications implemented on a second processing node and executes at least one predetermined or deduced response responsive to an indication of occurrence of the at least one predetermined or deduced condition within the decoded data.

Abstract: A method for detecting a fraudulent attempt to activate a new PIN, SIM Card or mobile device includes monitoring, at a first processing node associated with a network interconnecting a first network point and a second network point, a mirrored live-data flow of a live data flow passing through the first processing node in a non-intrusive manner that does not affect the first live-data flow passing through the first processing node. The live-data flow comprises data that is in active transmission between the first network point and the second network point and prior to storage of the data in a database. The first processing node detects that a transaction within the monitored live-data flow relates to an activation of the new PIN, SIM card or mobile device and compares the detected transaction to a list of known fraud situations stored in the first processing node to determine if the detected transaction relates to a known fraud situation.

Abstract: A system for monitoring a live-data flow through a network includes at least one server communicating with the network. A processor within each of the at least one server implements a first processing node for monitoring a mirrored live-data flow of the live-data flow passing through at least one selected point within the network in a non-intrusive manner that does not affect the live-data flow passing through the at least one selected point. The first processing node decodes data within the mirrored live-data flow according to each protocol associated with the data. The first processing node detects at least one predetermined or deduced condition defined by at least one of a plurality of applications implemented on a second processing node and executes at least one predetermined or deduced response responsive to an indication of occurrence of the at least one predetermined or deduced condition within the decoded data.

Abstract: A system for providing continuous automated verification of user identity and intent includes a processor within at least one server that implements a first processing node and a second processing node for monitoring a mirrored live-data flow of a live-data flow passing through the first processing node in a non-intrusive manner that does not affect the live-data flow passing through the first processing node to detect relevant network access and activity in the mirrored live data flow. At the second processing node, a first set of verification criteria, comprising a first set of dynamically generated dialog of questions with associated answers to be provided by the at least one user, are dynamically generated based on live data inputs from the mirrored live-data flow and external data sources to verify an identify and an activity of the at least one user attempting to access the network prior to access and performing an activity on the network.

Abstract: A method for detecting and intercepting at least one of fraud, security breach, intrusion or misuse of network resources monitors at least one of a plurality of simultaneous live data flows that are in active transmission between a first endpoint and a second endpoint in a network prior to the storage of data within the live data flows in a database, to take action to control the operation of a network. Prescribed detection algorithms are updated for detecting prescribed patterns and deduced detection algorithms are updated for detecting deduced patterns within the plurality of simultaneous live data flows with at least one of live data conditions and external data sources. The deduced and prescribed patterns that indicate occurrence of at least one of fraud, security breach, intrusion or misuse of the network are detected from at least one of the live data flows and the external data sources using the prescribed detection algorithms and the deduced detection algorithms.

Abstract: A system for providing continuous automated verification of user identity and intent includes a processor within at least one server that implements a first processing node and a second processing node for monitoring a mirrored live-data flow of a live-data flow passing through the first processing node in a non-intrusive manner that does not affect the live-data flow passing through the first processing node to detect relevant network access and activity in the mirrored live data flow. At the second processing node, a first set of verification criteria, comprising a first set of dynamically generated dialogue of questions with associated answers to be provided by the at least one user, are dynamically generated based on live data inputs from the mirrored live-data flow and external data sources to verify an identify and an activity of the at least one user attempting to access the network prior to access and performing an activity on the network.

Abstract: A system and method monitors for fraudulent transactions relating to a mobile device. Either of first and second processing nodes places a hold on a transaction associated with the first live-data flow and the second live-data flow responsive to detection of a potentially fraudulent condition. A third processing node generates an interactive verification communication responsive to the first data associated with the first live-data flow and the second data associated with the second live-data flow to establish a validity of the transaction. The third processing node releases the hold on the transaction responsive to the interactive verification communication determining the potentially fraudulent condition relates to a non-fraudulent transaction and generates a fraud detection response responsive to the interactive verification communication determining the potentially fraudulent condition relates to a fraudulent transaction before the transaction completes.

Abstract: A system and method monitors for fraudulent transactions relating to a mobile device. Either of first and second processing nodes places a hold on a transaction associated with the first live-data flow and the second live-data flow responsive to detection of a potentially fraudulent condition. A third processing node generates an interactive verification communication responsive to the first data associated with the first live-data flow and the second data associated with the second live-data flow to establish a validity of the transaction. The third processing node releases the hold on the transaction responsive to the interactive verification communication determining the potentially fraudulent condition relates to a non-fraudulent transaction and generates a fraud detection response responsive to the interactive verification communication determining the potentially fraudulent condition relates to a fraudulent transaction before the transaction completes.

Abstract: A method for detecting and intercepting at least one of fraud, security breach, intrusion or misuse of network resources monitors at least one of a plurality of simultaneous live data flows that are in active transmission between a first endpoint and a second endpoint in a network prior to the storage of data within the live data flows in a database, to take action to control the operation of a network. Prescribed detection algorithms are updated for detecting prescribed patterns and deduced detection algorithms are updated for detecting deduced patterns within the plurality of simultaneous live data flows with at least one of live data conditions and external data sources. The deduced and prescribed patterns that indicate occurrence of at least one of fraud, security breach, intrusion or misuse of the network are detected from at least one of the live data flows and the external data sources using the prescribed detection algorithms and the deduced detection algorithms.

Abstract: A system for monitoring live-data flow through a network includes a processor implementing a first processing node including an ingestor virtual machine (ingestor VM) for monitoring a mirrored live-data flow of the live-data flow passing through a selected point within the network in a non-intrusive manner that does not affect the live-data flow of at least one live data flow passing through the selected point. The ingestor VM further decodes each packet within the mirrored data flow according to each protocol associated with a packet and manages processes occurring within and between the first processing node and a second processing node. A time dependent buffer virtual machine (TDB VM) allocates a time dependent buffer (TDB) within the memory for executing the processes performed within and between the first processing node and a second processing node, and releasing the allocated TDB after completion of the processes.

Abstract: A system and method monitors for fraudulent transactions relating to a mobile device. Either of first and second processing nodes places a hold on a transaction associated with the first live-data flow and the second live-data flow responsive to detection of a potentially fraudulent condition. A third processing node generates an interactive verification communication responsive to the first data associated with the first live-data flow and the second data associated with the second live-data flow to establish a validity of the transaction. The third processing node releases the hold on the transaction responsive to the interactive verification communication determining the potentially fraudulent condition relates to a non-fraudulent transaction and generates a fraud detection response responsive to the interactive verification communication determining the potentially fraudulent condition relates to a fraudulent transaction before the transaction completes.

Abstract: A system for monitoring live-data flow through a network includes a processor implementing a first processing node including an ingestor virtual machine (ingestor VM) for monitoring a mirrored live-data flow of the live-data flow passing through a selected point within the network in a non-intrusive manner that does not affect the live-data flow of at least one live data flow passing through the selected point. The ingestor VM further decodes each packet within the mirrored data flow according to each protocol associated with a packet and manages processes occurring within and between the first processing node and a second processing node. A time dependent buffer virtual machine (TDB VM) allocates a time dependent buffer (TDB) within the memory for executing the processes performed within and between the first processing node and a second processing node, and releasing the allocated TDB after completion of the processes.

Abstract: A system and method monitors for fraudulent transactions relating to a mobile device. Either of first and second processing nodes places a hold on a transaction associated with the first live-data flow and the second live-data flow responsive to detection of a potentially fraudulent condition. A third processing node generates an interactive verification communication responsive to the first data associated with the first live-data flow and the second data associated with the second live-data flow to establish a validity of the transaction. The third processing node releases the hold on the transaction responsive to the interactive verification communication determining the potentially fraudulent condition relates to a non-fraudulent transaction and generates a fraud detection response responsive to the interactive verification communication determining the potentially fraudulent condition relates to a fraudulent transaction before the transaction completes.