Auto-generated synthetic identities for simulating population dynamics to detect fraudulent activity

A system, comprising:

• a processor;
• and
• a memory having programming instructions stored thereon, which, when executed by the processor, perform operations comprising:
• generating, using a machine learning model, a synthetic identity model by learning a plurality of characteristics associated with a verified identity using a training data set comprising sets of verified information;
• generating a plurality of synthetic identities using the synthetic identity model, wherein each synthetic identity mimics information associated with a verified identity;
• receiving, from a client device, an input attempt comprising input information associated with a synthetic identity of the plurality of synthetic identities;
• comparing the input information in the input attempt to the plurality of synthetic identities;
• determining that the input information in the input attempt comprises information from the plurality of synthetic identities;
• and
• rejecting the input attempt.