Cyber Threat Confidence Rating Visualization Interface
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Solution Overview
Problem
Current cyber threat confidence rating systems lack an intuitive and interactive interface for cyber threat analysts to accurately assess and modify threat indicator risk scores, leading to potential inaccuracies in risk evaluation.
Innovation Solution
A cyber threat intelligence confidence rating visualization and editing user interface (TIC) that allows users to submit calculation weights for threat characteristics, generate graphical representations of threat confidence scores, and dynamically adjust these scores based on user-configured weights, enabling precise risk evaluation and editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current cyber threat confidence rating systems are used, then automated threat detection is achieved, but the accuracy and reliability of risk scores are reduced due to lack of analyst input and editing capability
Solution Approach 1:
The patent introduces a user interface as an intermediary between the automated threat detection system and the cyber threat analyst. This interface allows analysts to view, edit, and adjust confidence ratings and risk scores, bridging the gap between automated detection and human expertise. The interface serves as a mediator that combines automated processing with human judgment to improve overall accuracy.
Solution Approach 2:
The system implements feedback mechanisms where analysts can provide input by modifying confidence ratings and risk scores through the user interface. This feedback loop allows the system to learn from and incorporate human expertise, continuously improving the accuracy of threat assessments while maintaining automated processing capabilities.
2Measurement precision
If automated threat detection systems operate without user input, then processing speed is maintained, but measurement precision of threat confidence ratings deteriorates
Solution Approach 1:
The system applies partial automation where only certain aspects of threat detection remain fully automated, while allowing analyst intervention for confidence rating adjustments. This partial action approach maintains processing speed for initial detection while enabling precise human judgment for critical rating modifications, optimizing the balance between speed and accuracy.
Solution Approach 2:
The automated system performs preliminary threat detection and generates initial confidence ratings before analyst review. This preliminary action provides a foundation that analysts can then refine, reducing the overall time required compared to starting from scratch while still allowing for accurate human assessment of critical parameters.
3Adaptability or versatility
If fixed automated algorithms are used for threat scoring, then system complexity is reduced, but adaptability to specific threat scenarios and analyst expertise is lost
Solution Approach 1:
The system transitions from static fixed algorithms to dynamic adjustable parameters through the user interface. Analysts can dynamically modify confidence ratings and adjust the weighting of different threat indicators based on specific scenarios and their expertise. This dynamic capability allows the system to adapt to varying threat landscapes while maintaining a relatively simple underlying algorithmic structure.
Data Source
AI summary
The cyber threat intelligence confidence rating visualization and editing user interface technology (hereinafter “TIC”) provides a user interface that allows a user (e.g., a cyber threat analyst, etc.) to submit ratings for various characteristics associated with a cyber threat indicator. In one embodiment, the TIC may instantiate a user interactive risk evaluation component having a user interface input element for a user to submit calculation weights for one or more characteristics of a cyber threat; generate a graphical representation of a cyber threat confidence score for user interface display via the user interactive risk evaluation component; and dynamically adjust the graphical representation of the threat confidence score using at least one of the one or more characteristics weighted by the user configured weight.