Abstract: The invention utilizes a two-component system to detect third party security threats and drive improved security threat mitigation based on the detection. The first component of the system is a security threat assessment engine, which receives and/or identifies external data and internal data regarding third parties in order to determine information security threats posed by third parties. The second component of the system is an analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies. In response to the detection of the threat patterns and anomalies the security threat assessment engine may be modified in order to more accurately determine security threats.

Abstract: The invention utilizes a two-component system to detect third party security threats and drive improved security threat mitigation based on the detection. The first component of the system is a security threat assessment engine, which receives and/or identifies external data and internal data regarding third parties in order to determine information security threats posed by third-parties. The second component of the system is an analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies. In response to the detection of the threat patterns and anomalies the security threat assessment engine may be modified in order to more accurately determine security threats. The system after identifying a security threat, generates a notification associated with the security threat and transfers the notification to a first set of third parties that may be affected by the security threat.

Abstract: Embodiments of the present invention are directed to data integration and threat assessment for triggering analysis of connection oscillations in order to improve data and connection security. The invention leverages a security threat assessment engine and an analytics engine to gather and process data from a combination of internal and external data sources for a third party connection. The system continuously monitors and updates a generated threat level for a third party connection to determine changes or triggers indicating a potential security threat. In response to these determined changes or triggers, the system then responds to a detected security threat and minimizes damages resulting from data compromised by third party systems. Further, the system may extract and recover data from the third party systems and alter connection channels in order to further limit losses.

Abstract: The invention utilizes a two-component system to detect third party security threats and drive internal system processes based on the detection. The first component of the system is a threat level engine, which collects external and internal system data on a real-time basis to determine changes in conditions that may give rise to a security threat. Based on the external and internal data, the level engine may calculate a threat assessment level to determine the level of the threat. The second component of the system is a third party analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies, which may in turn be used to trigger events or to drive internal system processes.

Abstract: Embodiments of the present invention are directed to data integration and threat assessment for triggering analysis of connection oscillations in order to improve data and connection security. The invention leverages a security threat assessment engine and an analytics engine to gather and process data from a combination of internal and external data sources for a third party connection. The system continuously monitors and updates a generated threat level for a third party connection to determine changes or triggers indicating a potential security threat. In response to these determined changes or triggers, the system then responds to a detected security threat and minimizes damages resulting from data compromised by third party systems. Further, the system may extract and recover data from the third party systems and alter connection channels in order to further limit losses.

Abstract: The invention utilizes a two-component system to detect third party security threats and drive improved security threat mitigation based on the detection. The first component of the system is a security threat assessment engine, which receives and/or identifies external data and internal data regarding third parties in order to determine information security threats posed by third parties. The second component of the system is an analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies. In response to the detection of the threat patterns and anomalies the security threat assessment engine may be modified in order to more accurately determine security threats.

Abstract: Embodiments of the present invention are directed to data integration and threat assessment for triggering analysis of connection oscillations in order to improve data and connection security. The invention leverages a security threat assessment engine and an analytics engine to gather and process data from a combination of internal and external data sources for a third party connection. The system continuously monitors and updates a generated threat level for a third party connection to determine changes or triggers indicating a potential security threat. In response to these determined changes or triggers, the system then responds to a detected security threat and minimizes damages resulting from data compromised by third party systems. Further, the system may extract and recover data from the third party systems and alter connection channels in order to further limit losses.

Abstract: The invention utilizes a two-component system to detect third party security threats and drive internal system processes based on the detection. The first component of the system is a threat level engine, which collects external and internal system data on a real-time basis to determine changes in conditions that may give rise to a security threat. Based on the external and internal data, the level engine may calculate a threat assessment level to determine the level of the threat. The second component of the system is a third party analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies, which may in turn be used to trigger events or to drive internal system processes.

Abstract: The invention utilizes a two-component system to detect third party security threats and drive improved security threat mitigation based on the detection. The first component of the system is a security threat assessment engine, which receives and/or identifies external data and internal data regarding third parties in order to determine information security threats posed by third parties. The second component of the system is an analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies. In response to the detection of the threat patterns and anomalies the security threat assessment engine may be modified in order to more accurately determine security threats.

Abstract: The invention utilizes a two-component system to detect third party security threats and drive internal system processes based on the detection. The first component of the system is a threat level engine, which collects external and internal system data on a real-time basis to determine changes in conditions that may give rise to a security threat. Based on the external and internal data, the level engine may calculate a threat assessment level to determine the level of the threat. The second component of the system is a third party analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies, which may in turn be used to trigger events or to drive internal system processes.

Abstract: The invention utilizes a two-component system to detect third party security threats and drive internal system processes based on the detection. The first component of the system is a threat level engine, which collects external and internal system data on a real-time basis to determine changes in conditions that may give rise to a security threat. Based on the external and internal data, the level engine may calculate a threat assessment level to determine the level of the threat. The second component of the system is a third party analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies, which may in turn be used to trigger events or to drive internal system processes.

Abstract: The invention utilizes a two-component system to detect third party security threats and drive improved security threat mitigation based on the detection. The first component of the system is a security threat assessment engine, which receives and/or identifies external data and internal data regarding third parties in order to determine information security threats posed by third parties. The second component of the system is an analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies. In response to the detection of the threat patterns and anomalies the security threat assessment engine may be modified in order to more accurately determine security threats.

Abstract: Embodiments of the present invention are directed to data integration and threat assessment for triggering analysis of connection oscillations in order to improve data and connection security. The invention leverages a security threat assessment engine and an analytics engine to gather and process data from a combination of internal and external data sources for a third party connection. The system continuously monitors and updates a generated threat level for a third party connection to determine changes or triggers indicating a potential security threat. In response to these determined changes or triggers, the system then responds to a detected security threat and minimizes damages resulting from data compromised by third party systems. Further, the system may extract and recover data from the third party systems and alter connection channels in order to further limit losses.

Abstract: The invention utilizes a two-component system to detect third party security threats and drive improved security threat mitigation based on the detection. The first component of the system is a security threat assessment engine, which receives and/or identifies external data and internal data regarding third parties in order to determine information security threats posed by third-parties. The second component of the system is an analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies. In response to the detection of the threat patterns and anomalies the security threat assessment engine may be modified in order to more accurately determine security threats. The system after identifying a security threat, generates a notification associated with the security threat and transfers the notification to a first set of third parties that may be affected by the security threat.