Workspace Orchestration Evaluation with Anonymized and Synthetic Data
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Solution Overview
Problem
Conventional virtualization techniques for securing access to protected data in Information Handling Systems (IHS) are inefficient and burdensome, consuming large portions of memory and processing capabilities while failing to account for the context of IHS usage, leading to degraded productivity and user experience.
Innovation Solution
An Information Handling System (IHS) evaluates workspace orchestration services using anonymized orchestration data and synthetic user data produced by AI/ML models, allowing for dynamic adjustments in workspace operations such as instantiation, modification, or tear down based on contextual factors like user identity, locale, network risk, and hardware configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional virtualization techniques are used to secure access to protected data, then security isolation is improved, but memory consumption and processing capability consumption increase significantly
Solution Approach 1:
The patent applies local quality by providing different virtualization environments tailored to specific users based on their identity, context, and security requirements. Instead of a uniform virtualization approach, the system creates customized workspaces with appropriate isolation levels for each user, optimizing the balance between security and resource consumption for each individual case rather than applying maximum isolation to all users.
Solution Approach 2:
The system dynamically adjusts virtualization configurations based on real-time context information about users, including their location, device, network environment, and behavioral patterns. The virtualization environment adapts its isolation and security features according to the current risk assessment, allowing the system to reduce overhead when lower security is sufficient while increasing protection when needed.
2Reliability
If conventional virtualization techniques implement all security protocols for approved data and applications, then security coverage is improved, but system complexity and resource consumption increase
Solution Approach 1:
The patent changes the parameters of security protocol implementation based on contextual factors such as user identity, location, network trust level, and data sensitivity. The system adjusts security measures dynamically - implementing full protocol suites for high-risk scenarios while using simplified protocols for low-risk situations, thereby reducing overall system complexity while maintaining adequate security coverage.
Solution Approach 2:
Different security protocols and virtualization features are applied locally to different users and contexts rather than uniformly across the entire system. The system identifies which security measures are actually needed for each user's specific situation, avoiding unnecessary complexity for users in secure environments while maintaining comprehensive protection where required.
3Adaptability or versatility
If conventional virtualization environments provide support for many capabilities, then versatility is improved, but productivity and user experience degrade due to overhead
Solution Approach 1:
Instead of providing full virtualization capabilities to all users, the system implements only the necessary capabilities for each user based on their context and requirements. This partial action approach ensures that users receive adequate functionality for their needs while avoiding the overhead of unnecessary capabilities, thereby improving productivity and user experience.
Solution Approach 2:
The virtualization environment dynamically adjusts its feature set based on real-time context information. When a user is in a secure environment with low risk, the system provides minimal viable functionality. When risk increases or specific capabilities are needed, the system dynamically adds those capabilities to the virtualization environment, optimizing the balance between versatility and performance for each moment.
Data Source
AI summary
Systems and methods for third-party evaluation of workspace orchestration services are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: evaluate a workspace orchestration service based, at least in part, upon (i) anonymized orchestration data received from the workspace orchestration service, and (ii) synthetic user data produced based, at least in part, upon user data and notify an Information Technology Decision Maker (ITDM) of the evaluation.