Techniques for detecting artificial intelligence model cybersecurity risk in a computing environment

A non-transitory computer-readable medium storing a set of instructions for detecting a cybersecurity risk of an artificial intelligence (AI), the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• generate an inspectable disk based on an original disk of a resource deployed in a computing environment;
• inspect the inspectable disk for an AI model;
• generate a representation of the AI model in a security database, the security database including a representation of the computing environment;
• inspect the AI model for a cybersecurity risk;
• generate a representation of the cybersecurity risk in the security database, the representation of the cybersecurity risk connected to the representation of the AI model in response to detecting the cybersecurity risk;
• and
• initiate a mitigation action based on the cybersecurity risk.

A system for detecting a cybersecurity risk of an artificial intelligence (AI) comprising:

• a processing circuitry;
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
• generate an inspectable disk based on an original disk of a resource deployed in a computing environment;
• inspect the inspectable disk for an AI model;
• generate a representation of the AI model in a security database, the security database including a representation of the computing environment;
• inspect the AI model for a cybersecurity risk;
• generate a representation of the cybersecurity risk in the security database, the representation of the cybersecurity risk connected to the representation of the AI model in response to detecting the cybersecurity risk;
• and
• initiate a mitigation action based on the cybersecurity risk.