Abstract: Techniques are described for automatically updating settings of computing devices and/or accounts, such as to improve security to prevent unauthorized intrusions. Effectiveness of particular configuration settings may be analyzed after attempted intrusions and/or messages sent to associated users to prompt performance of unauthorized actions. Configuration settings to automatically apply and/or messages to be sent may be selected using reinforcement learning with a selection policy based on multi-armed bandit techniques with Thompson Sampling to learn and exploit the most effective messages, and decision tree(s) may be generated whose leaf nodes each represents a learned segment with a group of computing devices and/or users who share common attributes, and describe a value function for the reinforcement learning. One or more trained large language models (LLMs) may also be used to further generate new messages by modifying aspects of existing messages, such as for the most effective identified messages.

Abstract: Techniques are described for automatically updating settings of computing devices and/or accounts, such as to improve security to prevent unauthorized intrusions. Effectiveness of particular configuration settings may be analyzed after attempted intrusions and/or messages sent to associated users to prompt performance of unauthorized actions. Configuration settings to automatically apply and/or messages to be sent may be selected using reinforcement learning with a selection policy based on multi-armed bandit techniques with Thompson Sampling to learn and exploit the most effective messages, and decision tree(s) may be generated whose leaf nodes each represents a learned segment with a group of computing devices and/or users who share common attributes, and describe a value function for the reinforcement learning. One or more trained large language models (LLMs) may also be used to further generate new messages by modifying aspects of existing messages, such as for the most effective identified messages.

Abstract: Security and distributed storage is described for systems using electronic profile information. Embodiments may be utilized for ID, data, and access analysis. Dynamic distributed redundant encryption may be used that may be based on user, device, location, context information, physical, or environmental characteristics. In one implementation, encrypted electronic profiles are stored on behalf of users by a profiling system, allowing user information within the electronic profiles to be accessed only by decryption of a portion of the electronic profile by the profiling system using distributed decryption codes.

Abstract: Examples of the present invention include profiling systems that store, manage, and utilize profile information to take predictive or deterministic action. Embodiments of the invention allow the profiling system to be used as a trusted intermediary where the profile owning entity controls access to their profile information across their network of devices and services.

Abstract: Examples of the present invention include profiling systems that store, manage, and utilize profile information to take predictive or deterministic action. Embodiments of the invention allow the profiling system to be used as a trusted intermediary where the profile owning entity controls access to their profile information across their network of devices and services.

Abstract: Security and distributed storage is described for systems using electronic profile information. Embodiments may be utilized for ID, data, and access analysis. Dynamic distributed redundant encryption may be used that may be based on user, device, location, context information, physical, or environmental characteristics.

Abstract: Examples of the present invention include advertising selection and display systems that utilize electronic profiles and information received about one or more network accessible content items an entity accessed, such as a web page. The information and electronic profile is used to determine links, advertisements, or both, that may be displayed in a web browser or other viewer along with the accessed network content.

Abstract: Examples of the present invention include profiling systems that store, manage and respond to electronic profiles. The profiling systems utilize attributes of the electronic profiles to take predictive or deterministic action, including identifying content to be provided and notification of selected content. Embodiments of the invention allow the profiling system to be used as a trusted intermediary where the profile owning entity controls access to their electronic profiles across their network of devices and services.

Abstract: Examples of the present invention include profiling systems that store, manage, and utilize profile information to take predictive or deterministic action. Embodiments of the invention allow the profiling system to be used as a trusted intermediary where the profile owning entity controls access to their profile information across their network of devices and services.