Adaptive Security Hub for Automated Vulnerability Remediation
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Solution Overview
Problem
Conventional network security systems lack a holistic, adaptive, and automated approach to vulnerability remediation, relying on disparate devices and tools that generate analytics reports without effective remediation capabilities, leading to slow mitigation and ongoing vulnerabilities.
Innovation Solution
A system comprising a central hub server that integrates and manages security tools to receive and normalize data from various sources, generate vulnerability records, and transmit priority-based issue records to mitigation servers for automated configuration updates, providing real-time, adaptive remediation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional security systems use disparate network appliances and software to collect security data, then data collection capability is improved, but system integration and automated remediation capability deteriorate
Solution Approach 1:
The patent combines multiple disparate security appliances, software agents, and data sources into a unified security management platform. The system integrates vulnerability scanners, antivirus software, intrusion detection systems, and other security tools into a single coordinated framework that collects data from all sources and applies unified remediation policies across the enterprise network.
Solution Approach 2:
The security management platform performs multiple functions through a single system: data collection from diverse sources, normalization of different data formats, vulnerability assessment, priority ranking, automated remediation execution, and real-time monitoring. This multi-functional approach eliminates the need for separate specialized tools for each security task.
2Ease of operation
If security systems rely on manual helpdesk-ticket models for remediation, then operational simplicity is improved, but remediation speed and adaptability deteriorate
Solution Approach 1:
The system enables automated self-service remediation where the security platform automatically generates remediation tickets, assigns them to appropriate mitigation servers, executes remediation actions, and verifies resolution without human intervention. This automated workflow maintains operational simplicity while dramatically increasing remediation speed and consistency.
Solution Approach 2:
The system performs preliminary actions by pre-configuring remediation playbooks and mitigation strategies for common vulnerabilities. When vulnerabilities are detected, the system can immediately execute pre-approved remediation actions without requiring manual analysis or decision-making, thereby accelerating the remediation process while maintaining simplicity.
3Measurement precision
If security analytics are performed separately as distinct programmatic behavior, then analytical depth is improved, but real-time responsiveness and holistic visibility deteriorate
Solution Approach 1:
The security management platform implements continuous real-time analytics that continuously monitor, analyze, and respond to security events as they occur. The system maintains persistent connections to all data sources and mitigation targets, enabling uninterrupted real-time visibility and immediate response to vulnerabilities without periodic batch processing delays.
Solution Approach 2:
The system incorporates continuous feedback loops where analytics results immediately trigger remediation actions, and remediation outcomes are fed back into the analytics engine for ongoing assessment. This closed-loop feedback mechanism ensures real-time responsiveness and maintains holistic visibility across the entire security posture of the enterprise.
Data Source
AI summary
Embodiments disclosed herein describe one or more servers of an enterprise system that may be configured to receive security and vulnerability information from a plurality of data sources and then rate them based upon their respective variance from an enterprise policy or status quo configuration in a related process area. The servers may execute scoring modules to normalize the data received from the data sources to tailor the system response to a given vulnerability. As such, identified vulnerabilities may be rated according to the needs of the enterprise, rather than being rated according to the factory or default configurations of a particular data source.