Patent ID: 11934925
Assignee: ZIXCORP SYSTEMS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. A non-transitory computer-readable medium comprising instructions to:
determine a classification that applies to an electronic message, the classification is an indication transmitted with the electronic message;
provide a machine learning trainer with the electronic message and an indication of the classification that applies to the electronic message, the message learning trainer adapted to determine a machine learning policy that associates attributes of the electronic message with the classification;
receive, by a scanner, at least a first electronic message, the first electronic message outbound from a sender to a recipient;
determine, by the scanner, at least a first classification type that applies to the first electronic message, the first classification type determined based on an express indication which is automatically determined prior to sending the first electronic message to the recipient, the express indication indicating that the first electronic message be handled in a manner that complies with a compliance criteria, wherein determining the first classification type comprises scanning the first electronic message by a plurality of scanners associated with the scanner, wherein each scanner is configured to scan the first electronic message for at least one respective classification type of a plurality of classification types;
provide, by the scanner to the machine learning trainer, the first electronic message and an indication of the at least one classification type that apply to the first electronic message, the machine learning trainer adapted to determine the machine learning policy that associates all the attributes of the first electronic message with the plurality of classification types;
receive, by an enforcer, at least a second electronic message, the second electronic message comprising the attributes that the machine learning policy associates with the first classification type; and
enforce, by the enforcer, handling the second electronic message in the manner that complies with the compliance criteria associated with the classification types associated with the first electronic message, the enforcing based on the machine learning policy indicating that the classification types associated with the first electronic message apply to the second electronic message.