Compute Resource Configuration Verification via Hardware Baseline
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Solution Overview
Problem
Current systems fail to ensure tamper-proof and compliant configurations for compute resources, particularly in cloud environments, where run-time states may deviate from pre-defined profiles, leading to security and regulatory compliance issues.
Innovation Solution
A method that verifies the boot-time state of compute resources using hardware-based measurements, storing these in a signed datastore, and continuously checks run-time compliance against pre-defined profiles, including operating system, middleware, and computational assets, with automatic remediation and access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If compute resources are configured with flexible run-time adjustments, then adaptability and ease of operation improve, but reliability and security compliance deteriorate due to potential configuration drift and tampering
Solution Approach 1:
The system performs preliminary verification of the boot-time state by measuring hardware components and comparing them against expected values before the compute resource begins operation. This preliminary action establishes a trusted baseline that prevents configuration drift from occurring in the first place, resolving the contradiction by ensuring reliability before flexibility is needed.
Solution Approach 2:
The system continuously monitors run-time configuration states and compares them against the verified boot-time baseline, providing feedback when deviations occur. This feedback mechanism enables automatic detection and correction of configuration drift, allowing flexible run-time operations while maintaining compliance through continuous verification.
2Reliability
If comprehensive verification of boot-time and run-time states is implemented, then reliability and security improve, but device complexity and measurement precision requirements worsen
Solution Approach 1:
The verification process is segmented into distinct phases: boot-time verification that measures hardware components and establishes a baseline, and run-time verification that monitors configuration states. This segmentation reduces complexity by breaking down the comprehensive verification into manageable, specialized subsystems with clear responsibilities.
Solution Approach 2:
The patent introduces an intermediary verification system that acts as a mediator between the compute resource and the management system. This intermediary handles the complex measurement and verification tasks, shielding the main system from complexity while providing simplified compliance assurance through standardized interfaces and protocols.
3Reliability
If hardware-based measurements are stored in signed datastores, then tamper-proof reliability improves, but loss of time for verification operations increases
Solution Approach 1:
The system performs the time-consuming verification of hardware measurements against signed datastores as a preliminary action during the boot process, before the compute resource becomes fully operational. This approach consolidates verification time into an initial setup phase rather than requiring continuous verification during operation, reducing ongoing time loss while maintaining tamper-proof reliability.
Solution Approach 2:
Once the boot-time verification establishes a trusted baseline, the system maintains continuous verification capability through lightweight run-time checks that monitor configuration states without requiring full re-verification of hardware measurements. This continuity approach minimizes repeated time-consuming operations while sustaining reliability through ongoing monitoring.
Data Source
AI summary
Systems and methods for compute resource configuration, verification, and remediation are provided herein. An example method includes verifying compliance of an operating system and compute assets provisioned configured within a middleware of a computing device using a pre-defined configuration profile, the compliance being determined by comparison of run-time hardware and software attributes of the compute assets to the pre-defined configuration profile comprising hardware and software requirements for the client.


