Adaptive Protection Loop for Risk-Based Cybersecurity Control
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Solution Overview
Problem
Existing cybersecurity technologies are often over-protective or under-protective, inefficient in resource usage, burdensome, and not scalable, particularly in handling dynamic and complex human behavior scenarios.
Innovation Solution
Implement an adaptive protection mechanism that monitors user behavior, records interactions, and adjusts security measures based on a risk score through a continuous loop, using machine learning or statistical models to dynamically tailor protection levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple different kinds of security mechanisms are layered at multiple different locations to implement defense in depth, then the system's ability to detect and prevent cyberattacks is improved, but the device complexity and resource consumption increase
Solution Approach 1:
The patent implements dynamic security mechanisms that automatically adjust protection levels based on real-time risk assessment. The system transitions from static, fixed security configurations to dynamic, adaptive security postures that respond to changing threat conditions, thereby maintaining high reliability without requiring permanent complex security architectures in all states.
Solution Approach 2:
The system changes security parameters such as protection intensity, monitoring frequency, and response thresholds based on assessed risk levels. When risk is low, security parameters are relaxed to reduce complexity; when risk is high, parameters are tightened to enhance protection. This allows the system to achieve high reliability only when necessary, reducing overall complexity.
2Reliability
If security protection activities are continuously performed for all users regardless of risk level, then security coverage is improved, but resource efficiency deteriorates
Solution Approach 1:
The patent applies different security protection qualities to different users based on their individual risk profiles. High-risk users receive intensive security monitoring and protection activities, while low-risk users receive minimal or no security intervention. This localized approach ensures comprehensive security coverage for vulnerable users while conserving computational resources for the overall system.
Solution Approach 2:
The system performs security protection activities partially rather than universally - applying full security measures only to the extent necessary for each user's risk level. This prevents excessive security actions on low-risk users, optimizing the balance between security coverage and resource consumption.
3Measurement precision
If manual intervention is required to adjust security measures, then security precision is improved, but productivity and ease of operation deteriorate
Solution Approach 1:
The patent implements self-service security management where the system automatically performs risk assessment, adjusts security measures, and updates protection levels without requiring manual administrator intervention. The system serves itself by using automated risk scoring models and machine learning algorithms to make security decisions, thereby maintaining precision while dramatically improving productivity and ease of operation.
Solution Approach 2:
The system incorporates continuous feedback loops where security outcomes and new threat information are fed back into the risk assessment model, which automatically adjusts security measures in response. This closed-loop feedback mechanism enables the system to maintain high measurement precision through continuous learning while eliminating manual intervention requirements.
4Adaptability or versatility
If security mechanisms are designed to handle all possible attack scenarios, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent employs dynamic security mechanisms that adapt their behavior and configuration in real-time based on detected threats and risk assessments. Rather than being statically configured to handle all possible attacks simultaneously, the system dynamically activates and configures security measures appropriate to current threat conditions, achieving high adaptability without permanent complexity.
Solution Approach 2:
The system uses universal security components and mechanisms that can perform multiple functions depending on the context. A single security framework can handle various attack types by adjusting its parameters and activation levels, rather than requiring separate specialized mechanisms for each threat scenario. This multi-functionality achieves versatility while controlling complexity.
Data Source
AI summary
Some embodiments operationally connect a risk score with cybersecurity protection mechanisms and user interactions data in a feedback loop. The risk score guides protection activities by the protection mechanisms, thereby prompting or preventing various user interactions. The protection activities and the user interactions are recorded in audit logs, and curated data based on the audit logs is fed to a risk scoring model as input. The risk scoring model then updates the risk score, and the loop repeats as the protection mechanisms alter their protection activities based on the updated risk score, thereby providing adaptive protection. Security tools for insider risk management, data leak prevention, and conditional access are enhanced to provide adaptive protection, by recording protection activities and user interactions for use as risk model input, and by checking regularly for risk score updates and modifying their protection activities accordingly.