Kernel-level agent compliance enforcement in computing environments

One or more non-transitory, computer-readable storage media comprising instructions thereon, wherein the instructions, when executed by at least one data processor of a system, cause the system to:

• obtain a machine-readable data structure that defines one or more operative boundaries for a target AI agent set;
• generate a reference value representing the machine-readable data structure by applying a first transformation operation set on the machine-readable data structure;
• load one or more monitoring programs and one or more policy maps into a monitoring layer of a computing environment executing the target AI agent set, wherein the one or more monitoring programs intercept operations performed by the target AI agent set;
• receive, via an event stream from the one or more monitoring programs, a plurality of events representing operations performed by the target AI agent set;
• generate an observed value based on the plurality of events;
• determine a verification status by comparing the reference value with the observed value, wherein the verification status is indicative of compliance of the target AI agent set with the one or more operative boundaries;
• and
• responsive to the verification status indicating non-compliance, load an enforcement program into one or more processing layers of the computing environment to restrict operations of the target AI agent set.

A computer-implemented method comprising:

• obtaining a machine-readable data structure that defines one or more operative boundaries for a target AI agent set;
• generating a reference value representing the machine-readable data structure by applying a first transformation operation set on the machine-readable data structure;
• loading one or more monitoring programs and one or more policy maps into a monitoring layer of a computing environment executing the target AI agent set, wherein the one or more monitoring programs intercept operations performed by the target AI agent set;
• receiving, via an event stream from the one or more monitoring programs, a plurality of events representing operations performed by the target AI agent set;
• generating an observed value based on the plurality of events;
• determining a verification status by comparing the reference value with the observed value, wherein the verification status is indicative of compliance of the target AI agent set with the one or more operative boundaries;
• and
• generating a verification record indicating the verification status.