Dynamic Asset Risk Scoring for Adaptive Security Configuration
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Solution Overview
Problem
Existing systems fail to effectively monitor and manage asset risk in computer environments due to the dynamic nature of asset attributes, leading to potential security vulnerabilities and inefficiencies in risk mitigation.
Innovation Solution
A system that dynamically assesses asset risk by analyzing attributes such as user context, geolocation, network connectivity, and application usage to adjust configuration parameters, security zones, and firewall rules, thereby mitigating security risks.
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 respond to dynamic asset attributes
Solution Approach 1:
The patent implements dynamic risk assessment by continuously monitoring asset attributes (geolocation, network connectivity, device state) and updating risk scores in real-time. The system transitions from static to dynamic evaluation, allowing security parameters to adapt automatically to changing conditions without requiring complex manual intervention
Solution Approach 2:
The system performs self-assessment by automatically collecting asset attributes, calculating risk scores, and adjusting security configurations without external input. The automated risk calculation engine continuously evaluates asset states and triggers appropriate security responses, reducing the need for human security personnel while improving responsiveness
2Speed
If dynamic risk monitoring is implemented, then security responsiveness is improved, but processing time increases due to continuous attribute analysis
Solution Approach 1:
The system establishes continuous feedback loops where asset attributes are monitored, risk scores are calculated, and security configurations are adjusted in real-time. This closed-loop approach enables rapid response to security events by immediately detecting attribute changes and triggering appropriate mitigation actions without delayed manual intervention
Solution Approach 2:
The system pre-defines security configurations and response protocols for various risk levels. When risk thresholds are exceeded, pre-configured security measures are automatically activated, eliminating the need for real-time decision-making and reducing processing time while maintaining rapid responsiveness
3Measurement precision
If comprehensive asset attribute monitoring is performed, then risk assessment accuracy is enhanced, but data processing load increases
Solution Approach 1:
The system dynamically adjusts the level of monitoring detail based on asset criticality and current risk levels. For high-risk assets, comprehensive attribute monitoring is performed, while for low-risk assets, monitoring is reduced to essential parameters only. This adaptive approach maintains assessment accuracy for critical assets while reducing overall processing load
Solution Approach 2:
Different monitoring intensities are applied to different assets based on their security criticality. Critical assets receive full-spectrum attribute monitoring with high precision, while non-critical assets receive basic monitoring. This localized quality approach ensures accurate risk assessment where needed while conserving processing resources elsewhere
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.