Dynamic Vulnerability Detection and Remediation System
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Solution Overview
Problem
Existing cybersecurity systems are slow to respond to newly developed attack methods, leading to prolonged vulnerability detection and remediation times, which expose enterprise networks to significant risk.
Innovation Solution
A dynamic vulnerability detection and remediation (DVDR) system that automatically scans computer networks, identifies potential vulnerabilities, determines service owners, and provides real-time notification and remediation plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vulnerability scanning methods are used across enterprise networks, then comprehensive vulnerability detection is achieved, but detection and remediation time increases to weeks or months
Solution Approach 1:
The system performs preliminary actions by continuously monitoring software updates, vulnerability database changes, and system configurations before vulnerabilities can be exploited. It proactively identifies and flags potential vulnerability exposures immediately when they occur, rather than waiting for scheduled scans. This preliminary detection mechanism reduces the time from vulnerability emergence to detection from weeks/months to near-real-time.
Solution Approach 2:
The patent introduces an intermediary layer between traditional vulnerability scanners and enterprise systems. This intermediary continuously analyzes software inventories, configuration changes, and vulnerability intelligence feeds, translating them into immediate alerts. The intermediary processes information asynchronously and filters only critical changes, enabling rapid response without requiring full network scans.
2Measurement precision
If manual threat intelligence assessment is performed, then accurate threat posture understanding is achieved, but response time increases and alert fatigue occurs
Solution Approach 1:
The system implements self-service by automatically ingesting vulnerability intelligence from multiple sources, correlating it with enterprise software inventories, and generating assessed threat reports without manual intervention. The automated system continuously updates threat postures, identifies affected assets, and prioritizes risks based on pre-configured criteria, eliminating the need for manual threat hunting while maintaining high assessment accuracy.
Solution Approach 2:
The patent establishes feedback loops where detected vulnerabilities and their remediation status continuously update the threat intelligence model. The system learns from past incidents, refines its detection algorithms, and adjusts alerting thresholds based on actual threat patterns. This feedback mechanism improves assessment accuracy over time while automating the entire process to maintain high response speeds.
3Reliability
If comprehensive vulnerability scans are deployed across all systems, then complete vulnerability coverage is achieved, but system complexity and resource requirements increase significantly
Solution Approach 1:
The patent segments the vulnerability assessment function into multiple independent components: software inventory collection, vulnerability intelligence ingestion, correlation engine, alert generation, and remediation tracking. Each component operates independently and can be scaled or configured separately. This segmentation maintains complete vulnerability coverage while reducing overall system complexity and enabling targeted deployment without requiring comprehensive scanning of all systems simultaneously.
Data Source
AI summary
A system for dynamic vulnerability detection and remediation is provided. The system includes a memory device and at least one processor coupled to the memory device. The at least one processor is programmed to: (a) store within a database an inventory of computer assets included within a computer ecosystem; (b) retrieve a vulnerability report including vulnerability definitions; (c) analyze the database to identify a potential vulnerability by comparing the computer assets stored within the database to the vulnerability definitions; (d) upon detecting the potential vulnerability, determine a service owner associated with the computer assets identified as being involved in the potential vulnerability; and (e) provide content to a user computing device associated with the service owner causing the user device to display a notification alert advising the service owner of the potential vulnerability and providing a remediation plan to address the potential vulnerability.