Threat Detection Platform Risk Quantification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current security threat detection systems struggle to convey the risk posed by security threats in a comprehensible manner, making it difficult for enterprises to understand the magnitude of the threat in real-time.
Innovation Solution
A threat detection platform that includes a profile generator, monitoring module, scoring module, and reporting module to analyze digital activities and communications, derive topics, and surface insights about security threats, allowing for better risk quantification and threat management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional security threat detection systems are used, then security threats can be detected, but the risk posed by threats cannot be conveyed in a comprehensible manner
Solution Approach 1:
The patent segments the complex threat analysis into distinct components: a scoring module that generates numerical risk scores, a topic model that identifies communication themes, and a reporting module that presents findings. This segmentation transforms incomprehensible raw data into structured, understandable risk assessments with clear numerical scores and categorized topics.
Solution Approach 2:
The patent introduces intermediate processing layers between threat detection and human understanding. The scoring module acts as an intermediary that translates complex security data into numerical risk scores, while the topic model serves as another intermediary that categorizes communications into meaningful themes, making the overall system output comprehensible to users.
2Measurement precision
If manual analysis of electronic messages is performed, then detailed security assessment is possible, but the process becomes increasingly difficult as message volume increases
Solution Approach 1:
The patent replaces manual mechanical analysis with automated computational systems. The scoring module automatically calculates risk scores based on multiple factors, and the topic model automatically identifies communication themes without human intervention, maintaining precise security assessment while dramatically increasing processing throughput to handle large volumes of electronic messages.
Solution Approach 2:
The patent transforms qualitative security assessments into quantitative parameters. By converting threat evaluations into numerical risk scores with specific数值 ranges and categorizing topics into defined themes, the system maintains measurement precision while enabling automated high-volume processing that would be impossible through manual analysis alone.
3Reliability
If comprehensive analysis of digital activities is performed, then security insights can be derived, but real-time understanding of threat magnitude becomes difficult
Solution Approach 1:
The patent performs preliminary analysis actions by continuously running the scoring module and topic model on digital activities and communications. This ongoing preliminary processing ensures that when threats are detected, the risk scores and topic categorizations are already computed and ready for immediate presentation, maintaining reliable threat detection while eliminating delays in comprehending threat magnitude.
Data Source
AI summary
Deriving and surfacing insights regarding security threats is disclosed. A plurality of features associated with a message is determined. A plurality of facet models is used to analyze the determined features. Based at least in part on the analysis, it is determined that the message poses a security threat. A prioritized set of information is determined to be provided as output that is representative of why the message was determined to pose a security threat. At least a portion of the prioritized set of information is provided as output.