Automated vishing detection to prevent deepfake and chatbot attacks

A method comprising:

• at a computing platform comprising at least one processor, a communication interface, and memory:
• training, using historical call information, a prompt generation model, wherein training the prompt generation model configures the prompt generation model to identify, for an initiated call between a first individual and a second individual, one or more security prompts to validate an identity of the first individual;
• detecting a first call between the first individual and the second individual, wherein the first call was initiated by the first individual;
• temporarily pausing the first call;
• inputting, into the prompt generation model and while the first call is paused, information of one or more of:
• the first call, the first individual, or the second individual, wherein inputting the information causes the prompt generation model to output the one or more security prompts, wherein the one or more security prompts comprise customized CAPTCHA tests based on the information;
• sending, while the first call is paused and to a user device of the first individual, the one or more security prompts and one or more commands directing the user device to display the one or more security prompts, wherein sending the one or more commands directing the user device to display the one or more security prompts causes the user device to display the one or more security prompts;
• receiving, while the first call is paused and from the user device, security input information comprising responses to the one or more security prompts;
• validating, while the first call is paused, the security input information;
• and
• based on successful validation of the security input information, causing the first call to resume.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, a communication interface, and memory, cause the computing platform to:

• train, using historical call information, a prompt generation model, wherein training the prompt generation model configures the prompt generation model to identify, for an initiated call between a first individual and a second individual, one or more security prompts to validate an identity of the first individual;
• detect a first call between the first individual and the second individual, wherein the first call was initiated by the first individual;
• temporarily pause the first call;
• input, into the prompt generation model and while the first call is paused, information of one or more of:
• the first call, the first individual, or the second individual, wherein inputting the information causes the prompt generation model to output the one or more security prompts, wherein the one or more security prompts comprise customized CAPTCHA tests based on the information;
• send, while the first call is paused and to a user device of the first individual, the one or more security prompts and one or more commands directing the user device to display the one or more security prompts, wherein sending the one or more commands directing the user device to display the one or more security prompts causes the user device to display the one or more security prompts;
• receive, while the first call is paused and from the user device, security input information comprising responses to the one or more security prompts;
• validate, while the first call is paused, the security input information;
• and
• based on successful validation of the security input information, cause the first call to resume.