Systems and methods for risk aware outbound communication scanning

A method, comprising:

• determining a risk profile for an outbound communication based on one or more of a user device, a data source, or a user profile associated with the outbound communication, the outbound communication comprising data modules including at least a payload, an origination endpoint, and a destination endpoint;
• determining a scanning policy from a plurality of scanning policies, based on the determined risk profile, each of the plurality of scanning policies comprising different data modules than one or more other scanning policies;
• determining a secure machine learning model from a plurality of secure machine learning models, based on the determined risk profile, wherein the secure machine learning model is determined based on an authentication level corresponding to the determined risk profile;
• providing one or more data modules to the secure machine learning model, based on the determined scanning policy;
• identifying a data risk value based on an output of the secure machine learning model, based on the risk profile and the payload;
• and
• based on the data risk value, determining one of allowing the outbound communication, preventing the outbound communication, or sanitizing the payload.

A system comprising:

• a data storage device storing processor-readable instructions;
• and
• a processor operatively connected to the data storage device and configured to execute the instructions to perform operations that include:
• determining a risk profile for an outbound communication based on one or more of a user device, a data source, or a user profile associated with the outbound communication, the outbound communication comprising data modules including at least a payload, an origination endpoint, and a destination endpoint;
• determining a scanning policy from a plurality of scanning policies, based on the determined risk profile, each of the plurality of scanning policies comprising different data modules than one or more other scanning policies;
• determining a secure machine learning model from a plurality of secure machine learning models, based on the determined risk profile, wherein the secure machine learning model is determined based on an authentication level corresponding to the determined risk profile;
• providing one or more data modules to the secure machine learning model, based on the determined scanning policy;
• receiving a sanitized version of the payload based on an output of the secure machine learning model;
• and
• providing the sanitized version of the payload for the outbound communication.