Systems and methods for AI-Gating continuous authorization and execution control
View Patent ↗A computerized system implements an AI-Gating authorization layer that functions as an execution interlock for digital actions. The AI-Gating authorization layer is configured to receive a requested digital action, and to determine, using a continuously evaluated and conditionally maintained authorization state, whether the requested action is permitted to execute, permitted to execute under modified constraints, or not permitted to execute. The system controls execution of actions in both pre-execution and mid-execution. The system includes components that receive action requests, acquire runtime context, evaluate authorization, assign execution permissions, mediate execution, and monitor outcomes. The system provides a graded and revocable execution permission state, which is continuously reassessed during execution, allowing for dynamic and adaptive control of action execution.
1 . A system for controlling execution of actions in a computing environment, comprising:
a processor;
an actuator communicatively connected to the processor;
an action intake interface configured to receive an action request;
a runtime context acquisition component, operating on the processor, configured to obtain dynamic context associated with an executing action and output a runtime context, the runtime context comprising at least system state, execution behavior, and uncertainty indicators;
an AI-Gating authorization engine, operating on the processor, configured to continuously evaluate whether execution of the action request is permitted based on the runtime context, wherein authorization is not determined solely at access time;
a permission scope determination component of the AI-Gating authorization engine configured to assign a graded and revocable execution permission state defining how, to what extent, and under what constraints the action request may execute;
an execution mediation module, operating on the processor, configured to enforce the graded and revocable execution permission state by directly mediating execution of the action request before execution and during execution by the actuator; and
a feedback and monitoring component configured to provide execution outcomes and updated runtime context to the AI-Gating authorization engine,
wherein the graded and revocable execution permission state is continuously reassessed during execution independently of identity authentication.
2 . The system of claim 1 , wherein the execution mediation module enforces the graded and revocable execution permission state using non-binary execution controls comprising at least one of scope limitation, rate limitation, staged execution, checkpoint enforcement, sandboxed execution, or selective termination.
3 . The system of claim 1 , wherein the AI-Gating authorization engine continuously updates the graded and revocable execution permission state in response to changes in runtime context occurring during execution of the action request.
4 . The system of claim 1 , wherein the permission scope determination component dynamically narrows execution authority to a minimum authority required for a current task context.
5 . The system of claim 1 , wherein the execution mediation module performs mid-execution intervention.
6 . The system of claim 1 , wherein the feedback and monitoring component detects execution drift by comparing observed execution behavior to expected execution behavior.
7 . The system of claim 1 , wherein the AI-Gating authorization engine reduces execution authority as uncertainty increases.
8 . The system of claim 1 , further comprising a constraint enforcement component configured to impose non-negotiable execution limits based on system integrity requirements.
9 . The system of claim 1 , wherein the action request is generated by an autonomous agent, and wherein execution of the action request is governed by the graded and revocable execution permission state.
10 . The system of claim 1 , further comprising a human oversight interface configured to receive an escalation when the graded and revocable execution permission state exceeds a predefined uncertainty.
11 . The system of claim 10 , wherein the execution mediation module maintains constrained execution while awaiting input from the human oversight interface.
12 . The system of claim 1 , wherein the system is deployed across distributed execution environments, and execution mediation is enforced by local mediation nodes operating under a centralized AI-Gating authorization engine.
13 . The system of claim 12 , wherein the graded and revocable execution permission state is portable across heterogeneous execution environments and synchronized to maintain consistent enforcement.
14 . The system of claim 1 , further comprising an audit and logging component configured to record authorization decisions, execution mediation actions, and permission state transitions in a time-ordered record.
15 . The system of claim 14 , wherein the audit and logging component supports reconstruction of execution control decisions for compliance.
16 . The system of claim 1 , wherein the action request corresponds to a physical operation.
17 . The system of claim 1 , wherein the computing environment comprises a cloud platform.
18 . The system of claim 1 , wherein the graded and revocable execution permission state allows execution by the actuator.
19 . The system of claim 1 , wherein the graded and revocable execution permission state constrains execution by the actuator.
20 . The system of claim 1 , wherein the graded and revocable execution permission state terminates execution by the actuator.
21 . The system of claim 1 , wherein the graded and revocable execution permission state is reduced as uncertainty increases.
22 . A method for controlling execution of actions in a computing environment, comprising:
receiving an action request;
obtaining runtime context associated with execution of the action request, the runtime context comprising system state, execution behavior, and uncertainty indicators;
continuously evaluating, using an AI-Gating authorization engine, whether execution of the action request is permitted based on the runtime context, wherein authorization is not determined solely at authentication time;
determining execution authority, a graded and revocable execution permission state defining how, to what extent, and under what constraints the action request may execute; and
mediating execution of the action request before execution and during execution in accordance with the graded and revocable execution permission state,
wherein execution authority is continuously reassessed independently of identity authentication eligibility.
23 . The method of claim 22 , further comprising reducing execution authority as uncertainty associated with the runtime context increases.
24 . The method of claim 22 , wherein the mediating execution comprises enforcing non-binary constraints selected from scope limitation, rate limitation, staged execution, checkpoint enforcement, sandboxed execution, or selective termination.
25 . The method of claim 22 , wherein the action request is generated by an autonomous system, and mediating execution comprises constraining autonomous behavior to a bounded task context.
26 . The method of claim 22 , wherein the action request originates from a software process.
27 . The method of claim 22 , wherein the action request originates from a human user.
28 . The method of claim 22 , wherein the action request originates from an autonomous agent.
29 . A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform the method of claim 22 .