AI Security Insight Engine for Automated Alert Investigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional security systems require manual investigation of security alerts, which is time-consuming and cumbersome.
Innovation Solution
A security system utilizing an AI insight engine with large language models (LLMs) to automatically analyze security alerts and generate structured insights about potential attacks, including a summary, detailed description, and attack chain graphics, without user prompting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual investigation of security alerts is performed, then security threats can be investigated, but the process is time-consuming and cumbersome
Solution Approach 1:
The system enables self-service by having the AI insight engine automatically analyze security alerts and generate insights without requiring manual intervention. The engine autonomously processes alerts, identifies patterns, and presents actionable insights, freeing security researchers from repetitive manual investigation tasks.
Solution Approach 2:
The patent replaces the mechanical manual investigation process with an automated AI-based system. Large language models and machine learning algorithms automatically analyze security alerts, generate insights, and provide recommendations, substituting human manual analysis with intelligent automation.
2Ease of operation
If manual investigation of security alerts is performed, then security threats can be investigated, but it requires significant expertise and effort
Solution Approach 1:
The AI insight engine performs self-service by automatically executing complex analysis tasks without requiring user expertise. The system handles alert correlation, pattern recognition, and insight generation autonomously, making the process accessible to users regardless of their technical expertise level.
Solution Approach 2:
The patent introduces an intermediary layer - the AI insight engine - that mediates between raw security alerts and human analysts. This intermediary automatically processes complex alert data, generates structured insights, and presents information in an understandable format, simplifying the interaction for users while handling complexity in the background.
Data Source
AI summary
A security system may receive, without a submission of a user query, a model response from a large language model, where the model response includes structured data generated by the large language model using a plurality of security alerts. A security system may render an interface on a computing device using the structured data, where the interface displays information about a security insight event detected by the large language model using the plurality of security alerts, and the interface identifies a portion of the plurality of security alerts as related to the security insight event.