System and method to dynamically generate access triggers to a network

A method, comprising:

• receiving first communication feedback from a first entity requesting to access a first plurality of network resources in a communication network;
• executing a machine learning algorithm configured, when executed, to evaluate data in accordance with one or more machine learning models to perform one or more operations comprising:
• determining a first plurality of determined intents based on the first communication feedback;
• and
• generating a first synthetic network structure based on the first plurality of determined intents, the first synthetic network structure being associated with a first dynamic trigger;
• presenting access to the first synthetic network structure to the first entity in the communication network;
• in response to receiving the first dynamic trigger from the communication network, determining that the first entity performed one or more actions associated with the first synthetic network structure;
• determining that the first entity is associated with a first electronic attacker;
• generating a first report comprising that the first entity is associated with the first electronic attacker;
• training the one or more machine learning models using the first report;
• determining a first plurality of entity actions based on the first communication feedback;
• in response to generating the first report, assigning the first plurality of entity actions to a first position in an attack depiction comprising one or more network resources attacked in the communication network;
• determining a second plurality of entity actions based on the first communication feedback;
• and
• in response to generating the second report, assigning the second plurality of entity actions to a second position in the attack depiction.

A non-transitory computer-readable medium storing instructions that when executed by a processor cause the processor to:

• receive first communication feedback from a first entity requesting to access a first plurality of network resources in a communication network;
• execute a machine learning algorithm configured, when executed, to evaluate data in accordance with one or more machine learning models to:
• determine a first plurality of determined intents based on the first communication feedback;
• and
• generate a first synthetic network structure based on the first plurality of determined intents, the first synthetic network structure being associated with a first dynamic trigger;
• present access to the first synthetic network structure to the first entity in the communication network;
• in response to receiving the first dynamic trigger from the communication network, determine that the first entity performed one or more actions associated with the first synthetic network structure;
• determine that the first entity is associated with a first electronic attacker;
• generate a first report comprising that the first entity is associated with the first electronic attacker;
• train the one or more machine learning models using the first report;
• determine a first plurality of entity actions based on the first communication feedback;
• in response to generating the first report, assign the first plurality of entity actions to a first position in an attack depiction comprising one or more network resources attacked in the communication network;
• determine a second plurality of entity actions based on the first communication feedback;
• and
• in response to generating the second report, assign the second plurality of entity actions to a second position in the attack depiction.