Secured analytics using encrypted data

A system comprising memory coupled to at least one processor, the at least one processor configured to:

• receive first data and second data, the first data and the second data being homomorphically encrypted, the first data comprising a name of a user, and the second data comprising at least one of a social security number of the user, contact information of the user, or a payment account of the user;
• retrieve third data comprising name data, the third data being homomorphically encrypted;
• retrieve fourth data comprising at least one of social security number data, contact information, or payment account data, the fourth data being homomorphically encrypted;
• determine a first proximity between the first data and the third data;
• determine a second proximity between the second data and the fourth data;
• determine based on a comparison of the first proximity to a first proximity threshold and based on a comparison of the second proximity to a second proximity threshold different than the first proximity threshold, a risk score associated with opening or modifying a user account based on the first data and the second data;
• and
• identify, based on the risk score, a fraudulent action associated with opening or modifying the user account based on the first data and the second data.

A non-transitory computer-readable medium storing computer-executable instructions which, when executed by a processor, cause the processor to perform operations comprising:

• receiving first data and second data, the first data and the second data being homomorphically encrypted, the first data comprising a name of a user, and the second data comprising at least one of a social security number of the user, contact information of the user, or a payment account of the user;
• retrieving third data comprising name data, the third data being homomorphically encrypted;
• retrieving fourth data comprising at least one of social security number data, contact information, or payment account data, the fourth data being homomorphically encrypted;
• determining a first proximity between the first data and the third data, the first proximity greater than zero;
• determining a second proximity between the second data and the fourth data;
• determining based on a comparison of the first proximity to a first proximity threshold and based on a comparison of the second proximity to a second proximity threshold different than the first proximity threshold, a risk score associated with opening or modifying a user account based on the first data and the second data;
• and
• identifying, based on the risk score, a fraudulent action associated with opening or modifying the user account based on the first data and the second data.