Systems and methods for spam blocking using artificial intelligence in a tiered software framework

Non-transitory computer-readable tangible media that includes instructions for execution, which when executed by a processor of a computing device, is operable to perform operations comprising:

• determining that a message template is generated in the tiered software framework, wherein:
• the tiered software framework comprises a first tier, a second tier, and a third tier,
• the second tier comprises accounts of a first plurality of subscribers,
• the third tier comprises subaccounts of the accounts, the subaccounts associated with a second plurality of subscribers, and
• the message template is associated with one of the subaccounts in the third tier;
• parsing the message template;
• automatically performing a semantic search for regulated content in the parsed message template by comparing semantics of the text of the parsed message template to semantics of the regulated content using natural language processing to find matches;
• assigning a score to the message template based on any matches found;
• and
• responsive to the score being higher than a predetermined threshold, blocking generating of any message from the message template.

An apparatus comprising:

• a processing circuitry;
• a memory storing data;
• and
• a communication circuitry, wherein the processing circuitry executes instructions associated with the data, the processing circuitry is coupled to the communication circuitry and the memory, and the processing circuitry and the memory cooperate, such that the apparatus is configured for:
• determining that a message template is generated in the tiered software framework, wherein:
• the tiered software framework comprises a first tier, a second tier, and a third tier,
• the second tier comprises accounts of a first plurality of subscribers,
• the third tier comprises subaccounts of the accounts, the subaccounts associated with a second plurality of subscribers, and
• the message template is associated with one of the subaccounts in the third tier;
• parsing the message template;
• automatically performing a semantic search for regulated content in the parsed message template by comparing semantics of the text of the parsed message template to semantics of the regulated content using natural language processing to find matches;
• assigning a score to the message template based on any matches found;
• and
• responsive to the score being higher than a predetermined threshold, blocking generating of any message from the message template.