Utilizing machine learning models to generate fraud predictions for card-not-present network transactions

A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause a computer system to:

• receive a request to initiate a network transaction comprising credit card information and an indication that a credit card associated with the credit card information is not present for the network transaction;
• identify one or more features associated with the network transaction;
• generate, utilizing a card-not-present machine learning model, a fraud prediction for the network transaction based on the one or more features associated with the network transaction;
• and
• process the network transaction based on the fraud prediction.

A system comprising:

• at least one processor;
• and
• at least one non-transitory computer-readable storage medium storing instructions that, when executed by the at least one processor, cause the system to:
• receive a request to initiate a network transaction comprising credit card information and an indication that a credit card associated with the credit card information is not present for the network transaction;
• identify one or more features associated with the network transaction;
• generate, utilizing a card-not-present machine learning model, a fraud prediction for the network transaction based on the one or more features associated with the network transaction;
• and
• process the network transaction based on the fraud prediction.