Endpoint Tamper Detection via Kernel Cache Instrumentation
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Solution Overview
Problem
Enterprise networks face challenges in effectively detecting and mitigating tampering attempts, as existing security measures are inadequate in identifying and remediating threats in real-time, particularly in protecting tamper-protected computing objects.
Innovation Solution
A computer program product that instruments endpoints to detect attempted modifications of tamper-protected computing objects by using a cryptographically secured cache, determines the context and source of the modification, and applies remediation actions such as sandboxing, key revocation, or logging off users to mitigate threats based on threat associations and system configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing security measures are used to detect tampering attempts, then basic protection is provided, but real-time detection and remediation capabilities are inadequate
Solution Approach 1:
The system performs preliminary actions by instrumenting endpoints in advance with tamper detection capabilities, pre-positioning detection mechanisms within the kernel space cache before threats occur. This allows the system to be ready to detect and respond to tampering attempts immediately when they occur, rather than reacting after detection.
Solution Approach 2:
The system implements continuous feedback loops where the instrumented endpoints constantly monitor for tampering attempts, detect modifications to computing objects, and trigger automated remediation actions. The feedback mechanism includes monitoring cache accesses, detecting unauthorized modifications, and immediately responding with remediation while logging events for analysis.
2Measurement precision
If comprehensive monitoring of computing resources is implemented to detect tampering attempts, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system introduces an intermediary layer in the form of the kernel space cache that mediates between computing objects and potential tampering attempts. The cache serves as a protected intermediary structure that stores information about tamper-protected objects, allowing detection without requiring complex monitoring of every system component. This intermediary approach simplifies the overall system architecture while maintaining high detection accuracy.
Solution Approach 2:
The security system is segmented into distinct functional components: the kernel space cache for storing protected object information, instrumented endpoints for detection, threat management facilities for analysis, and remediation mechanisms for response. This segmentation allows each component to specialize in its function, reducing overall system complexity while improving detection precision through focused monitoring of specific cache entries.
3Speed
If automated remediation actions are applied in response to tampering attempts, then threat mitigation speed is improved, but risk of false positive impacts increases
Solution Approach 1:
The system uses feedback mechanisms to verify tampering attempts before applying remediation. The threat management facility receives feedback from instrumented endpoints about detected modifications, analyzes the context and source of attempts, and only triggers remediation when threats are confirmed. This feedback loop reduces false positives while maintaining rapid response to genuine threats.
Solution Approach 2:
The system performs preliminary analysis and classification of detected tampering attempts before applying remediation actions. The threat management facility pre-evaluates the nature, source, and context of each attempt, classifying threats based on cached information about computing objects. This preliminary assessment ensures that remediation is applied only to confirmed threats, reducing false positive impacts while maintaining fast response times.
Data Source
AI summary
An enterprise security system is improved by taking remedial actions responsive to detecting attempts at tampering with computing resources. When a tamper detection instrument detects an attempt at tampering, information about the attempt at tampering may be used to identify one or more candidate types of threats and/or candidate threats. One or more remedial actions associated with the threat or type of threat can be identified and applied in ten enterprise network environment.