AI Identity Service for Zero Trust Wireless Device Authentication
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Solution Overview
Problem
Enterprise computing environments face challenges in ensuring information security and preventing unauthorized access, particularly with the proliferation of wireless devices and increased bandwidth in zero trust computing environments, where conventional security measures are inadequate to handle the scale and complexity of 5G networks.
Innovation Solution
A computing platform equipped with an artificial-intelligence engine that generates profiles for connection requests, assigns identities to user devices, and continuously monitors behavior, using machine-learning models to validate connections and enforce policies, thereby ensuring secure access to enterprise resources while managing the increased load of 5G networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security measures are used to protect enterprise networks, then implementation is simple and cost-effective, but they are inadequate to handle the scale and complexity of 5G networks and wireless devices
Solution Approach 1:
The patent introduces an identity service as an intermediary component that sits between wireless devices and enterprise resources. This identity service handles authentication, authorization, and device identity management, effectively mediating security concerns without requiring complex changes to the entire network infrastructure. The identity service translates security requirements into manageable identity verification processes.
Solution Approach 2:
The patent creates a universal identity service that handles multiple security functions including authentication, authorization, account management, and device identity verification. This multi-functional approach consolidates what would otherwise require multiple separate security systems, reducing overall complexity while maintaining comprehensive security coverage for 5G networks and diverse wireless devices.
2Reliability
If continuous authentication is implemented in zero trust environments, then security is improved, but the processing load and complexity increase significantly
Solution Approach 1:
The patent implements preliminary device registration and identity provisioning before devices connect to the enterprise network. During this preliminary phase, devices are assigned unique identities and baseline security credentials. This preliminary action reduces the complexity of continuous authentication by establishing trust relationships in advance, so that ongoing authentication can rely on pre-configured identity verification rather than complex real-time analysis.
Solution Approach 2:
The patent incorporates feedback mechanisms where the identity service continuously monitors device behavior, connection patterns, and authentication events. This feedback is used to dynamically adjust authentication requirements and device identities based on observed behavior. The feedback loop enables the system to maintain high security while adapting to normal device operations, reducing unnecessary authentication complexity for trusted devices.
3Productivity
If 5G wireless networks are deployed to increase bandwidth and connection speed, then network performance is improved, but the number of connection requests and devices increases, amplifying security challenges
Solution Approach 1:
The patent enables devices to self-register and self-provision identities with the identity service upon connecting to the 5G network. Devices automatically obtain unique identifiers and security credentials without requiring manual configuration or complex approval processes. This self-service capability allows the network to scale to handle increased device connections while maintaining consistent security management, as each device independently establishes its identity relationship with the enterprise.
Data Source
AI summary
Aspects of the disclosure relate to optimizing authentication and management of wireless devices in zero trust computing environments. In some embodiments, a computing platform may receive, from a user computing device, a connection request. Subsequently, the computing platform may generate, using an artificial-intelligence engine, a profile for the connection request. Based on the profile for the connection request generated using the artificial-intelligence engine, the computing platform may determine that the connection request is valid. In response to determining that the connection request is valid, the computing platform may establish a connection with the user computing device. Based on establishing the connection with the user computing device, the computing platform may assign an identity to the user computing device. After assigning the identity to the user computing device, the computing platform may monitor behavior of the user computing device based on the identity assigned to the user computing device.