Techniques for detecting ai pipelines in cloud computing environments

A non-transitory computer-readable medium storing a set of instructions for detecting an artificial intelligence (AI) pipeline in a cloud computing environment, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• detect a plurality of entities deployed in the cloud computing environment;
• inspect each entity of the plurality of entities deployed in the cloud computing environment for an AI pipeline component;
• detect a connection between a first AI pipeline component and a second AI pipeline component;
• inspect a resource of the cloud computing environment to detect an AI model, wherein the AI model is stored in a disk associated with the resource;
• generate in a security database a digital representation of each of:
• the first AI pipeline component, the second AI pipeline component, the connection, and the AI model;
• generate an AI pipeline representation based on the generated representations
• analyze the AI pipeline representation to detect a security risk;
• and
• initiate a remediation action in the cloud computing environment based on the detected security risk.

A system for detecting an artificial intelligence (AI) pipeline in a cloud computing environment comprising:

• a processing circuitry;
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
• detect a plurality of entities deployed in the cloud computing environment;
• inspect each entity of the plurality of entities deployed in the cloud computing environment for an AI pipeline component;
• detect a connection between a first AI pipeline component and a second AI pipeline component;
• inspect a resource of the cloud computing environment to detect an AI model, wherein the AI model is stored in a disk associated with the resource;
• generate in a security database a digital representation of each of:
• the first AI pipeline component, the second AI pipeline component, the connection, and the AI model;
• generate an AI pipeline representation based on the generated representations analyze the AI pipeline representation to detect a security risk;
• and
• initiate a remediation action in the cloud computing environment based on the detected security risk.