Enhanced techniques for generating and deploying dynamic false user accounts

A computer-implemented method, comprising:

• obtaining a corpus of text that includes a set of individual data files that have one or more properties;
• causing a machine learning engine to analyze the corpus of text to build a false tenant model that is usable to generate individual false data files that have the one or more properties;
• deploying the false tenant model to generate a set of false data files that have the one or more properties;
• populating a false user account with the set of false data files that have the one or more properties, wherein the false user account is associated with one or more credentials;
• and
• provisioning a computing device with access to the false user account in response to an access request including the one or more credentials.

A system, comprising:

• at least one processor;
• and
• at least one memory in communication with the at least one processor, the at least one memory having computer-readable instructions stored thereupon that, when executed by the at least one processor, cause the at least one processor to:
• obtain a plurality of real data files that correspond to one or more real user accounts;
• cause a machine learning engine to analyze the plurality of real data files to build a false tenant model that is usable to generate false data files having one or more properties that correspond to the plurality of real data files;
• deploy the false tenant model to periodically populate a false user account with individual false data files in accordance with at least one predetermined pattern of activity;
• and
• provision a computing device with access to the false user account in response to an access request including one or more credentials, wherein the false user account is populated with at least some of the individual false data files while the computing device is accessing the false user account.