Prompt-Based Cybersecurity Threat Detection From Unified Data
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Solution Overview
Problem
Users face difficulties in processing large volumes of security and compliance data to efficiently monitor and respond to security threats in real-time.
Innovation Solution
A system that integrates security and compliance databases to provide real-time responses to user queries using prompt-based processing, leveraging natural language processing and machine learning to determine relevant responses based on data packets associated with an account.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually process large volumes of security and compliance data, then they can monitor security threats, but the processing time and efficiency are insufficient for real-time requirements
Solution Approach 1:
The patent introduces an AI-based intermediary system that acts as a mediator between raw security/compliance data and users. This AI system automatically processes, analyzes, and synthesizes large volumes of data from multiple sources, generating concise summaries and threat assessments without requiring users to manually examine the underlying data, thereby dramatically improving processing efficiency while maintaining real-time capabilities
Solution Approach 2:
The patent replaces manual mechanical data processing with automated AI-based processing. The system uses machine learning models and natural language processing to automatically ingest, analyze, and interpret security logs, compliance data, and threat intelligence, substituting human manual review with automated computational processes that operate continuously without fatigue or delay
2Loss of information
If the system integrates multiple security and compliance data sources, then the information completeness improves, but the system complexity increases
Solution Approach 1:
The patent implements a universal AI processing platform that handles multiple types of data sources (security logs, compliance data, threat intelligence feeds) through a single integrated system. The AI model is designed to universally process various data formats and sources using the same underlying architecture, eliminating the need for separate processing pipelines for each data type and reducing overall system complexity while maintaining information completeness
Data Source
AI summary
Various methods, systems, and computer program products are provided for determining responses to queries relating to cybersecurity. The method may include receiving a first query from a computing device associated with an account. The method may also include determining, based on the first query, a security database and/or a compliance database that contains one or more data packets relating to the first query and the account. The method may further include receiving, from the security database and/or the compliance database, the one or more data packets relating to the first query and the account. The method may still further include determining a first response to the first query based on the one or more data packets relating to the first query and the account. The method may also include causing a rendering of the first response to the first query to the computing device associated with the account.