System and method for fraud and abuse detection

A fraud detection system, the fraud detection system comprising:

• one or more user devices, wherein the one or more user devices include at least a callee user device;
• and
• one or more platform servers communicatively coupled to the callee user device, the one or more platform servers including one or more processors configured to execute a set of program instructions stored in a memory, the one or more platform servers including a sentiment analysis module stored in memory, the one or more platform servers including a circuit breaker module stored in memory, the set of program instructions configured to cause the one or more processors to:
• analyze an incoming call in near real-time using the sentiment analysis module, the sentiment analysis module including one or more sentiment analysis models configured to analyze a sentiment of a callee's voice;
• generate a confidence risk score in near real-time based on the sentiment analysis of the incoming call, wherein the confidence risk score corresponds to a likelihood of fraud or abuse;
• and
• perform one or more actions using the circuit breaker module based on a determined confidence risk score, wherein the one or more actions include one or more risk threshold tier actions corresponding to a respective confidence risk score.

A method comprising:

• analyzing an incoming call in near real-time using a sentiment analysis module, wherein the sentiment analysis module includes one or more sentiment analysis models configured to analyze a sentiment of a callee's voice;
• generating a confidence risk score in near real-time based on the sentiment analysis of the incoming call, wherein the confidence risk score corresponds to a likelihood of fraud or abuse based on the sentimental analysis data from the sentiment analysis module;
• and
• performing one or more actions using a circuit breaker module based on the generated confidence risk score, wherein the one or more actions include one or more risk threshold tier actions corresponding to a respective confidence risk score.