AI Security Product Matching for Faster Issue-to-Solution Routing
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Solution Overview
Problem
Users face challenges in navigating the overwhelming array of cybersecurity products and services to identify the most relevant solution for a given issue, leading to delays in protection or response.
Innovation Solution
An AI-powered product façade application that uses language models to convert an input description into a structured format, retrieve context from knowledge bases, and identify the most relevant product or service based on confidence and reason, expediting the selection process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually navigate through the array of cybersecurity products and services to identify the most relevant solution, then they can make informed decisions, but it leads to delays in protection or response
Solution Approach 1:
The system enables self-service by automatically matching cybersecurity issues with relevant products and services using AI-powered language models. The application autonomously processes issue descriptions, retrieves contextual information from knowledge bases, and identifies the most relevant products without requiring manual navigation by users, thereby eliminating time loss while maintaining identification accuracy.
Solution Approach 2:
The patent replaces the mechanical manual navigation process with an automated AI-based system. Language models process issue descriptions and retrieve relevant information from knowledge bases, substituting the manual mechanical process of users browsing and evaluating products with an automated intelligent system that delivers accurate product recommendations instantly.
2Measurement precision
If the system provides detailed information about multiple products to ensure accurate matching, then identification accuracy improves, but the complexity of the system increases
Solution Approach 1:
The system segments the product identification process into distinct modular components: issue description processing, knowledge base retrieval, product matching, and recommendation generation. Each module performs a specific function with well-defined inputs and outputs, reducing overall system complexity while maintaining high identification accuracy through specialized processing at each stage.
Solution Approach 2:
The patent introduces an intermediary layer consisting of language models and knowledge bases that mediate between the raw issue description and the final product recommendation. This intermediary layer processes and structures information, transforming unstructured issue descriptions into structured queries that can be efficiently matched against product information, thereby simplifying the overall matching process.
3Measurement precision
If the application processes multiple product categories with detailed analysis, then the relevance of identified products improves, but the processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and structuring issue descriptions before product matching, and by organizing knowledge base information in advance. Language models analyze issue descriptions upfront to extract key parameters and characteristics, creating structured representations that enable faster and more accurate product matching across multiple categories without increasing processing time during the actual recommendation phase.
Data Source
AI summary
An AI-based application uses AI models to expeditiously identify a product or service most relevant to an issue input to the application instead of a user navigating a platform or catalogue of products/services. The application prompts a first language model to convert the input description into a structured description of the issue. The application then, for each product/service category, prompts a second language model to identify a product/service most relevant to the structured description within each product/service category. The application then returns an identification of a product/service determined to be most relevant to the issue as represented by the structured description, confidence in the identification, and a reason the product/service was identified.