US 11,310,237 B2 · Dynamic authorization control system and method

Abstract

A system includes at least one processor to receive training data and generate at least one machine learning rule based on the training data to apply when a condition occurs, continually monitor at least one resource associated with a computing network for the condition in the computing network that may trigger an authorization control modification, the condition comprising one of an active project that uses the at least one resource, a security alert level change, a resource locality change, metadata associated with the condition, a skill assessment, and a business state analysis, determine that the condition has occurred in the computing network, and dynamically and automatically modify a user authorization control for at least one particular user responsive to the machine learning rule.

Claims12

Dependent claims

A method comprising:

receiving, by at least one processor, training data and generating at least one machine learning rule based on the training data to apply when a condition occurs to trigger increasing a privilege level for at least one particular user, wherein the condition is independent of behavior of the at least one particular user and includes an environmental event;
continually monitoring, by the at least one processor, at least one resource associated with a computing network for the condition;
determining, by the at least one processor, that the condition has occurred;
and
dynamically and automatically increasing, by the at least one processor, the privilege level for the at least one particular user responsive to the at least one machine learning rule,
wherein the environmental event comprises one of a fire and a weather event, the method further comprising modifying a duration of the increased privilege level during the environmental event responsive to the at least one machine learning rule.

3 more elements

A non-transitory computer-readable storage medium having instructions stored thereon that, when executed by at least one processor to perform operations, the operations comprising:

receiving training data and generating at least one machine learning rule based on the training data to apply when a condition occurs to trigger increasing a privilege level for at least one particular user, wherein the condition is independent of behavior of the at least one particular user and includes an environmental event;
continually monitoring, by the at least one processor, at least one resource associated with a computing network for the condition;
determining, by the at least one processor, that the condition has occurred;
and
dynamically and automatically increasing, by the at least one processor, the privilege level for the at least one particular user responsive to the at least one machine learning rule,
wherein the environmental event comprises one of a fire and a weather event, the operations further comprising modifying a duration of the increased privilege level during the environmental event responsive to the at least one machine learning rule.

3 more elements

Dependencies are inferred from the claim text.

Dynamic authorization control system and method

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Dynamic authorization control system and method

Life of this patent

Abstract

Claims12