Threat Intelligence Feed Evaluation System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Large enterprise organizations face challenges in efficiently identifying accurate and timely threat intelligence data feeds from multiple sources, lacking objective measures to evaluate the value of data feeds and providers.
Innovation Solution
A system evaluates threat intelligence data feeds using multiple processes, including interdependency analysis, topic modeling, and natural language processing to score and rank feeds based on timeliness and relevance, providing an objective measure of value to identify credible sources and prioritize alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple threat intelligence data feeds are received from multiple sources, then the quantity and coverage of threat information increases, but it becomes difficult to identify feeds providing accurate and timely information
Solution Approach 1:
The system implements feedback mechanisms by evaluating feed quality based on multiple criteria (timeliness, accuracy, relevance) and using this evaluation to dynamically adjust feed selection and alert prioritization. The evaluation process continuously monitors feed performance and provides feedback for improving data quality assessment.
Solution Approach 2:
The patent introduces an intermediary evaluation layer between raw threat intelligence feeds and the security operations. This intermediary system assesses feed quality, validates data accuracy, and prioritizes information before presenting it to analysts, effectively mediating between the quantity of available feeds and the precision of actionable intelligence.
2Reliability
If multiple data feeds are evaluated and processed, then the ability to identify credible sources improves, but the complexity of the system increases
Solution Approach 1:
The evaluation system is segmented into distinct functional modules: timeliness evaluation, accuracy evaluation, relevance evaluation, and prioritization modules. Each module handles a specific aspect of feed assessment, making the overall complex system manageable through functional decomposition and independent optimization of each evaluation component.
Solution Approach 2:
The system evaluates feeds based on multiple parameters (timeliness, accuracy, relevance scores) and dynamically adjusts weighting of these parameters based on organizational needs and threat landscape. This allows the system to maintain reliability while adapting complexity to specific operational requirements rather than using a fixed complex evaluation framework.
3Productivity
If threat intelligence data feeds are evaluated and prioritized, then the efficiency of security response improves, but the time required to process and evaluate feeds increases
Solution Approach 1:
The system performs preliminary evaluation of threat intelligence feeds continuously in the background, assessing timeliness, accuracy, and relevance before alerts require analyst attention. This preliminary action ensures that when threats are detected, the prioritization is already complete, eliminating evaluation time from the critical response path and improving overall security response efficiency.
Solution Approach 2:
The feed evaluation process operates continuously rather than periodically, maintaining constant assessment of feed quality and relevance. This continuous evaluation ensures that prioritization information is always current without requiring discrete processing cycles, reducing time loss while maintaining high productivity in threat response.
Data Source
AI summary
Arrangements for detecting, evaluating and controlling intelligence threat data feeds are provided. In some examples, a plurality of threat intelligence data feeds may be received. The threat intelligence data feeds may be received and evaluated to identify one or more feeds that are considered to provide valuable information to the entity implementing the evaluation. For instance, the evaluation may identify one or more feeds or providers that provides accurate data, timely data, and the like. In some examples, based on the evaluation, one or more data feeds may be removed (e.g., data might not be received), one or more alerts may be generated or dismissed, alerts generated for potential threats may be prioritized (e.g., alerts generated based on data from more accurate feeds are prioritized over alerts generated based on data from less accurate feeds).