Security Appliance Extension for Automated Threat Prioritization
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Solution Overview
Problem
The inefficiency of relying on human subjectivity to prioritize and remediate cybersecurity threats in Security Operation Centers (SOCs) has become increasingly burdensome as the number of cybersecurity threats rises, necessitating improved automated prioritization and remedial actions.
Innovation Solution
A Detection and Response Security System (DRSS) that includes a Security Appliance Extension (SAE) to receive and prioritize security events using customized severity characterizations, implementing automated presentation and control actions based on these characterizations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If human operators manually prioritize and remediate cybersecurity threats, then flexibility and contextual understanding are maintained, but efficiency and scalability deteriorate as threat volume increases
Solution Approach 1:
The security system performs self-service by automatically analyzing security events, determining severity levels, and executing remediation actions without human intervention. The processor autonomously prioritizes threats based on predefined criteria and implements control actions, eliminating the need for manual operator involvement in routine threat response while maintaining effective security management
Solution Approach 2:
The system changes parameters by transforming raw security event data into structured severity characterizations that drive automated responses. By converting unstructured security logs into standardized severity levels and associated control actions, the system enables automated decision-making processes that scale efficiently with increasing threat volumes
2Measurement precision
If customized severity characterization mapping is implemented, then prioritization accuracy is improved, but system complexity increases
Solution Approach 1:
The severity characterization system is segmented into discrete, manageable components including event type classification, severity level determination, and control action selection. This segmentation allows the complex prioritization process to be broken down into independent modules that can be configured and maintained separately, reducing overall system complexity while maintaining high prioritization accuracy
Solution Approach 2:
The severity characterization mapping serves multiple functions simultaneously: it classifies events, determines priority levels, triggers alerts, and initiates remediation actions. This multi-functionality reduces the need for separate systems for each task, thereby managing complexity while achieving accurate threat prioritization through a unified characterization framework
Data Source
AI summary
Systems and methods are disclosed that receive and characterize security event data. Based upon a customized severity characterized security event data, presentation and/or control actions, such as prioritized presentation and alarm generation are performed.