Zero-Trust Telemetry Chains for Resource Piracy Detection
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Solution Overview
Problem
In a zero-trust computing environment, the inability to dynamically configure and adjust telemetry collection and transmission hinders the continuous validation of access to protected resources, making existing systems vulnerable to resource piracy and inefficiencies.
Innovation Solution
Implementing a policy decision point that controls telemetry collection by identifying and updating telemetry definitions, adjusting telemetry generation based on hardware component positions within a telemetry chain, and utilizing a remote access controller to manage telemetry adjustments through sideband management pathways.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If telemetry collection is statically configured in existing systems, then system complexity is reduced and ease of operation is improved, but adaptability to detect resource piracy and continuous validation of access deteriorates
Solution Approach 1:
The patent implements dynamic telemetry configuration where the policy decision point can update telemetry definitions at runtime based on detected resource piracy. The telemetry collection system transitions from static to dynamic, allowing continuous adaptation of which hardware components are monitored and how telemetry is generated, enabling responsive security validation without permanent system reconfiguration.
Solution Approach 2:
The system changes telemetry parameters (which hardware components generate telemetry, telemetry frequency, telemetry destinations) based on detected security conditions. When resource piracy is detected, the policy decision point modifies telemetry definition parameters to target specific suspected hardware components, enabling adaptive detection without hardcoding multiple configuration states.
2Reliability
If telemetry collection is continuously adjusted to validate access, then security monitoring effectiveness is improved, but system complexity and resource consumption increase
Solution Approach 1:
The system applies partial telemetry collection by selectively enabling telemetry generation from specific hardware components based on detected resource piracy. Instead of continuously monitoring all components at full intensity, the policy decision point adjusts telemetry definitions to monitor only relevant suspected components, reducing overall resource consumption while maintaining reliable security validation for critical areas.
Solution Approach 2:
The system implements feedback-driven telemetry adjustment where the policy decision point monitors resource usage patterns, detects anomalies indicating piracy, and dynamically adjusts telemetry collection in response. This closed-loop approach ensures reliable security monitoring by intensifying surveillance only when and where needed, rather than maintaining constant high-level monitoring of all system components.
3Productivity
If telemetry definitions are dynamically updated by policy decision point, then responsiveness to resource piracy is improved, but system complexity and control difficulty increase
Solution Approach 1:
The policy decision point acts as an intermediary between resource piracy detection and telemetry collection adjustment. It receives indications of resource piracy, processes this information through policy evaluation, and translates security requirements into specific telemetry definition updates for hardware components. This intermediary layer simplifies control by centralizing the complex decision logic in one component rather than distributing it across multiple telemetry-generating hardware elements.
4Loss of information
If all hardware components generate telemetry by default, then comprehensive monitoring is achieved, but resource consumption and data processing load increase
Solution Approach 1:
The system extracts and isolates telemetry generation to only those hardware components specifically identified in the telemetry definition. Instead of all hardware components generating telemetry by default, the policy decision point updates telemetry definitions to extract and enable telemetry only from suspected components involved in resource piracy, reducing overall telemetry generation overhead while maintaining complete monitoring coverage for critical security-relevant components.
Data Source
AI summary
Systems and methods provide collection of telemetry by an Information Handling System (IHS). A policy decision point (PDP), of a zero-trust computing environment that controls access to a plurality of protected resources, receives an indication of resource piracy related to hardware components of the IHS. The PDP identifies a telemetry definition specifying telemetry being collected by the IHS and updates the telemetry definition to specify an updated telemetry chain for configuring telemetry collection by the hardware components of the IHS. The updated telemetry definition is transmitted to the IHS. Upon identifying the updated telemetry chain in the telemetry definition received from the PDP, the IHS adjusts telemetry generation by one or more of the hardware components of the IHS based on their position in the telemetry chain.