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RED-AID : REspectful and capability-centreD integrated AI Device for preventing call fraud

Image from Licence Details: RED-AID : REspectful and capability-centreD integrated AI Device for preventing call fraud

Applications: Call fraud detection and prevention

Features Benefits
  • Method for determining the likelihood that part of a call or a whole call is fraudulent.
  • Protection and prevention for users, vulnerable or not, from different types of fraudulent calls.
  • As a first step the method uses a neural network to transcribe the content of the exchange.
  • The novel method can identify different types of fraudulent activities such as transferring money to a bank account or purchasing a certain product.
  • A natural language processor is trained using artificially synthesised conversations. It then identifies and categorises the content of the exchange.
  • The method guarantees reliability of fraudulent call detection, even when the fraudulent transmitter changes tactics over time to avoid detection.
  • Using a knowledge-based risk assessor, the method then determines the likelihood that the call is fraudulent.
  • The knowledge-based risk assessor uses information collected during previous calls and develops a set of evidence and rationale before determining if the call is fraudulent.
  • If a call is determined as being fraudulent, it can, in certain situations, be terminated without any input from the receiver.
  • The automatic termination of the call, if fraudulent activity is detected, protects users with an increased vulnerability to fraud (i.e. users with cognitive impairment).

 

Patented & Available for:

  • Licensing
  • Co-development
  • Consulting
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