AI Cybersecurity Notification System for Structured and Unstructured Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional alert notification systems struggle to efficiently utilize unstructured data for identifying and generating cybersecurity alerts, often requiring domain expertise and leading to false positives due to lack of context, making them inaccessible to users without specific knowledge.
Innovation Solution
A notification system powered by a generative AI model that processes natural language queries to identify relevant cybersecurity elements, monitor structured and unstructured data, and provide tailored alerts and summaries, allowing users with minimal technical knowledge to receive relevant reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional alert notification systems use unstructured data for identifying cybersecurity alerts, then the system can access more information sources, but the system produces false positives due to lack of context and requires domain expertise
Solution Approach 1:
The patent introduces an AI model as an intermediary between unstructured data sources and the notification system. The AI model processes natural language queries, identifies relevant cybersecurity elements, and analyzes unstructured data to generate accurate notifications, eliminating the need for users to have domain expertise while maintaining high accuracy.
Solution Approach 2:
The system changes the parameter of data processing by using AI-based natural language understanding to transform unstructured data into structured insights. This allows the system to interpret context and meaning in unstructured data, reducing false positives while utilizing diverse data sources.
2Reliability
If conventional notification systems require domain expertise for querying, then the system can accurately identify relevant alerts, but the system becomes inaccessible to users without specific knowledge
Solution Approach 1:
The AI model serves as an intermediary that translates natural language queries into structured search criteria. Users can ask questions in plain English without knowing domain-specific query languages or data structures, while the AI model ensures accurate identification of relevant cybersecurity alerts.
Solution Approach 2:
The system enables self-service by allowing users to interact with complex cybersecurity data through simple natural language. The AI model automatically understands user intent, formulates appropriate queries, and returns relevant results without requiring users to understand the underlying data structures or domain expertise.
3Adaptability or versatility
If the notification system processes both structured and unstructured data, then the system provides more comprehensive coverage, but the system complexity increases
Solution Approach 1:
The AI model provides universal processing capability for both structured and unstructured data through a single interface. It can handle natural language queries, process unstructured text data, and generate notifications across multiple data types without requiring separate processing pipelines for each format.
Solution Approach 2:
The system uses parameter changes in the AI model to adapt to different data types. The model dynamically adjusts its processing approach based on whether input data is structured or unstructured, maintaining system versatility while managing complexity through intelligent parameter adjustment rather than multiple rigid processing paths.
Data Source
AI summary
Systems and methods for providing cybersecurity notifications based on structured and unstructured data. The systems and methods receive a natural language query from a client device and processes, by an artificial intelligence model, the natural language query to identify elements of cybersecurity intelligence to monitor. The systems and methods further monitor cybersecurity intelligence for a match to the identified elements from the natural language query and provide a notification to the client device in response to the matching of the identified elements to one or more items of cybersecurity intelligence.