Cloud Threat Alert Correlation to Reduce False Positives
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Solution Overview
Problem
Traditional cybersecurity systems generate numerous false positives, overwhelming security teams and diverting attention from actual threats, due to reliance on rule-based systems and signature matching that are not adaptive to evolving threats.
Innovation Solution
A cloud-based system that monitors network traffic, aggregates and sorts alerts based on time and signature, provides a user interface to display alerts, determines false positives, and updates security tools accordingly, while quantifying tool effectiveness and recording historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If rule-based systems and signature matching are used for threat detection, then detection coverage is improved, but false positives increase overwhelming security teams
Solution Approach 1:
The patent combines multiple security tools (SIEM, EDR, firewall, proxy) into a unified cloud-based platform that aggregates alerts from all sources. This consolidation allows centralized processing and analysis of alerts, enabling the system to maintain comprehensive detection coverage while reducing false positives through coordinated analysis across all security functions.
Solution Approach 2:
The system implements feedback mechanisms where security analysts label alerts as true positives or false positives, and this feedback is used to continuously improve the detection algorithms. The cloud-based platform learns from analyst decisions and adjusts future alert generation, progressively reducing false positives while maintaining detection coverage.
2Reliability
If multiple security tools are deployed to improve detection accuracy, then threat detection capability is improved, but system complexity increases
Solution Approach 1:
The cloud-based security platform provides multi-functionality by integrating SIEM, EDR, firewall, and proxy capabilities into a single unified system. This universal platform performs multiple security functions simultaneously, improving detection accuracy while avoiding the complexity of managing separate independent tools through centralized management.
Solution Approach 2:
The cloud-based platform acts as an intermediary layer that receives alerts from multiple security tools, processes them through unified analysis, and presents consolidated results to security teams. This intermediary function reduces the complexity of direct tool-to-tool integration by centralizing the coordination and analysis functions.
3Speed
If real-time alert processing is implemented to improve response time, then security response speed is improved, but computational resources are consumed
Solution Approach 1:
The system implements partial processing by analyzing only the most critical alert attributes in real-time while deferring detailed analysis to batch processing. This allows the system to maintain fast response times for immediate threats while consuming fewer computational resources by not processing all alert details simultaneously.
Solution Approach 2:
The cloud-based platform maintains continuous monitoring and processing of security events, keeping detection capabilities active without requiring intensive computational bursts. This continuous operation at optimized resource levels improves response speed while managing resource consumption more efficiently than intermittent high-intensity processing.
Data Source
AI summary
Systems and methods for cloud-based threat alerts and monitoring include monitoring network traffic via a cloud-based system of one or more tenants of the cloud-based system; receiving a plurality of alerts associated with the network traffic from a plurality of security tools of the cloud-based system; logging the plurality of alerts; and providing an event chain, including the plurality of alerts. Based on the event chain, alerts can be identified as being false positives or legitimate.