Automated Seamless Recovery via Cloud Desktop Transition
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Solution Overview
Problem
Users experience productivity loss and delays when a computing system is infected, as existing technologies take time to detect and remediate risks, leading to significant consequences for the system and user productivity.
Innovation Solution
A processor detects risks on a local machine, determines the need for heightened-level remediation, connects the machine to a cloud-based desktop environment, performs remediation, and merges data from the cloud environment back to the local machine, allowing users to continue working while the remediation is conducted.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If heightened-level remediation is performed on a local machine, then risk mitigation is improved, but productivity is worsened due to system downtime
Solution Approach 1:
The system creates a virtual copy of the local machine's desktop environment in the cloud, allowing users to continue working on the copied environment while the original machine undergoes remediation. This copying approach enables productivity maintenance without compromising the remediation process.
Solution Approach 2:
A cloud-based desktop environment acts as an intermediary between the user and the compromised local machine. The cloud environment serves as a mediator that provides continuous access to users while the local machine is isolated for security remediation, thus resolving the contradiction between security and productivity.
2Reliability
If risk detection and remediation is performed on a local machine, then security is improved, but time loss is worsened due to remediation duration
Solution Approach 1:
The system proactively creates a cloud-based copy of the desktop environment before remediation begins, and prepares the remediation process in advance. This preliminary action ensures that users can immediately transition to the cloud environment without waiting for remediation to complete, thus reducing perceived time loss while maintaining security.
Solution Approach 2:
The cloud-based desktop environment maintains continuous user productivity throughout the remediation process. Instead of interrupting work for remediation, the system enables continuous useful action in the cloud while the local machine is being remediated, effectively eliminating time loss from the user perspective.
3Productivity
If cloud-based desktop environment is used during remediation, then productivity is improved, but device complexity is worsened due to cloud integration
Solution Approach 1:
The system automatically manages the complexity of cloud integration through self-service mechanisms. The virtualization infrastructure, cloud connectivity, and data synchronization are handled automatically without requiring user intervention or complex configuration, thus maintaining productivity while masking the underlying system complexity.
Solution Approach 2:
The cloud-based desktop environment serves multiple functions simultaneously: it provides continuous user access, isolates the compromised local machine, enables remediation processes, and maintains data synchronization. This multi-functionality consolidates complex operations into a single universal platform, improving productivity without burdening users with complexity.
Data Source
AI summary
A processor may detect a risk on a local machine. The processor may determine that the risk warrants a heightened-level remediation. The processor may connect the local machine to a cloud-based desktop environment. The processor may perform the heightened-level remediation on the local machine. The processor may merge data from the cloud-based desktop environment to the local machine in response to the heightened-level remediation being performed.