Dynamic Asset Risk Scoring for Context-Aware Security Response
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Solution Overview
Problem
Existing asset risk management systems fail to account for dynamically changing attributes in computer environments, leading to inadequate security measures and potential vulnerabilities.
Innovation Solution
A system that dynamically assesses asset risk based on changing attributes such as user, geolocation, network connection, and application usage, adjusting configuration parameters to mitigate security risks through encryption, quarantine, or zone changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static risk assessment methods are used, then system simplicity is maintained, but security effectiveness deteriorates due to inability to account for dynamically changing attributes
Solution Approach 1:
The patent implements dynamic risk scoring by continuously monitoring asset attributes (geolocation, network connection, application usage) and updating risk scores in real-time based on changing contexts. This transforms the static risk assessment system into a dynamic one that adapts to evolving security conditions, directly resolving the contradiction between maintaining system simplicity and achieving security effectiveness.
Solution Approach 2:
The system establishes a feedback loop where risk scores are continuously calculated based on current asset attributes, and configuration parameters are automatically adjusted in response to risk score changes. This feedback mechanism enables the system to respond to dynamic security conditions without requiring complex manual intervention, thereby improving security effectiveness while managing system complexity.
2Speed
If dynamic risk assessment is implemented, then security responsiveness is improved, but computational resource consumption increases
Solution Approach 1:
The patent changes the parameters being monitored from comprehensive continuous data streams to specific key attributes (geolocation, network connection type, application usage). By focusing on these critical parameters rather than analyzing all possible data points continuously, the system achieves fast security response while controlling computational resource consumption.
Solution Approach 2:
The system implements partial monitoring by selectively tracking only the most relevant asset attributes that have the greatest impact on risk assessment. This partial action approach allows the system to respond quickly to security threats without the excessive computational burden of analyzing every possible data point, thus resolving the contradiction between response speed and resource consumption.
3Measurement precision
If continuous monitoring of all asset attributes is performed, then measurement precision is improved, but system complexity and resource usage increase
Solution Approach 1:
The patent applies local quality by assigning different levels of monitoring intensity to different asset attributes based on their security relevance. Critical attributes like geolocation and network connection type are monitored with high precision, while less critical attributes receive lower monitoring intensity. This selective approach maintains risk assessment accuracy without requiring complex monitoring of all attributes equally.
Solution Approach 2:
The system changes the monitoring parameters by focusing on discrete, high-impact attributes (geolocation, network connection, application usage) rather than attempting to continuously monitor all possible asset characteristics. This parameter selection strategy achieves sufficient measurement precision for effective risk assessment while avoiding the complexity and resource consumption of comprehensive continuous monitoring.
Data Source
AI summary
Systems and methods for managing asset risk in computer environment can include receiving, by one or more processors, data indicative of attributes of an asset of the computer environment. The one or more processors can determine a risk context based on the data indicative of the attributes of the asset. The one or more processors can update a risk score of the asset based at least on the risk context. The one or more processors can adjust, responsive to the risk score of the asset, a configuration parameter of at least one of the asset or another asset to mitigate a security risk associated with the asset.