Artificial Intelligence – Fred Sadaghiani, Alex Paino, Jacob Burnim, Keren Gu, Gary Lee, Noah Grant, Eugenia Ho, Doug Beeferman, Sift Science Inc
Abstract for “System and methods to dynamically mitigate digital threats”
“Systems and Methods include collecting digital data from at most one remote source of data; using that digital data as an input to the primary machine learning ensemble that predicts digital fraud and/or abuse; identifying sub-requests for specific digital threats scores for digital abuse types; responding to the sub-request with the input of collected data to a secondary model ensemble of machine learning that predicts a likelihood for the identified type of digital abuse; generating the specific digital risk score for that type of digital abuse type by the secondary machinelearning ensemble; transmitting the global and the targeted digital threat
Background for “System and methods to dynamically mitigate digital threats”
The modern web and internet allow entities to engage in and perform an infinite number of activities. Many of these activities involve user to user activities or user-to business activities (or both). These activities are often between users or between users and organizations over the internet. They involve the access to, use and/or exchange information by one or more parties. Digital actors can use online services Internet-accessible apps (e.g. web or mobile) to commit digital fraud and/or abuse. This is due to the flexibility of the digital realm in which these activities operate. Some of these bad actors might also seek to steal information (e.g. hack) that is being exchanged between legitimate entities involved in these activities. These digital threats could also be committed by malicious third parties who attempt to illegally or inexplicably take advantage of data or information exchanged. If not exchanged, then data or information about users’ actions and/or businesses on-the web.
“Other digital threats that involve a malicious party, a bad actor, or an unintended act (or both) to misuse digital resources of a provider to commit fraud or other illegal activities that are significant to legitimate service providers and Internet users.”
While there are technologies available that can detect digital fraud, digital abuse, or other malicious activities over the Internet (or near it), these technology implementations may not be able to detect malicious digital activity over the Internet with sufficient accuracy and in real time to allow an affected party to respond appropriately. These technology implementations are not able to detect digital threats that have never been seen before and can’t automatically evolve to address and neutralize them.
“There is therefore a need for a digital solution to detect multiple digital threats in digital fraud and/or abuse using digital resources provided by a service provider. The technical solutions provided by the inventions described in this application address at least the above need.
Summary for “System and methods to dynamically mitigate digital threats”
The modern web and internet allow entities to engage in and perform an infinite number of activities. Many of these activities involve user to user activities or user-to business activities (or both). These activities are often between users or between users and organizations over the internet. They involve the access to, use and/or exchange information by one or more parties. Digital actors can use online services Internet-accessible apps (e.g. web or mobile) to commit digital fraud and/or abuse. This is due to the flexibility of the digital realm in which these activities operate. Some of these bad actors might also seek to steal information (e.g. hack) that is being exchanged between legitimate entities involved in these activities. These digital threats could also be committed by malicious third parties who attempt to illegally or inexplicably take advantage of data or information exchanged. If not exchanged, then data or information about users’ actions and/or businesses on-the web.
“Other digital threats that involve a malicious party, a bad actor, or an unintended act (or both) to misuse digital resources of a provider to commit fraud or other illegal activities that are significant to legitimate service providers and Internet users.”
While there are technologies available that can detect digital fraud, digital abuse, or other malicious activities over the Internet (or near it), these technology implementations may not be able to detect malicious digital activity over the Internet with sufficient accuracy and in real time to allow an affected party to respond appropriately. These technology implementations are not able to detect digital threats that have never been seen before and can’t automatically evolve to address and neutralize them.
“There is therefore a need for a digital solution to detect multiple digital threats in digital fraud and/or abuse using digital resources provided by a service provider. The technical solutions provided by the inventions described in this application address at least the above need.
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