Security Alert Deduplication Using Recurring Data Identifiers
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Solution Overview
Problem
Conventional computing systems face challenges in efficiently managing and scaling the triage, investigation, and management of security alerts due to the increasing volume generated by large and complex architectures, leading to inefficiencies and high costs.
Innovation Solution
Implementing an alert management system that utilizes serverless cloud computing environments to automatically suppress and deduplicate recurring security alerts through unique identifiers such as UUIDs and hashing algorithms, reducing manual efforts and improving scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual triage and management of security alerts is performed, then alert accuracy and investigation quality are improved, but system cost and scalability deteriorate
Solution Approach 1:
The system performs self-service by automatically suppressing and deduplicating security alerts based on recurring data identifiers. The alert management system compares data identifiers of incoming alerts against stored historical identifiers and automatically suppresses duplicates without requiring manual intervention, thereby maintaining alert management quality while reducing system complexity.
Solution Approach 2:
The patent replaces manual mechanical alert triage and investigation processes with an automated computational system. The system uses data identifier comparison and suppression logic to automatically handle alert management tasks that were previously performed manually, improving scalability while maintaining quality through consistent automated processing.
2Reliability
If more security alerts are generated to cover all computing events, then security coverage is improved, but alert volume and processing burden increase
Solution Approach 1:
The system extracts and removes duplicate alerts from the total alert volume by comparing data identifiers. The alert management system identifies recurring data identifiers that correspond to duplicate alerts and suppresses them, thereby reducing the quantity of alerts that need processing while maintaining comprehensive security coverage through selective suppression rather than complete filtering.
Solution Approach 2:
The system discards duplicate alerts that have been processed before, while recovering and reprocessing only unique alerts that represent new security events. This approach maintains security coverage by ensuring new threats are detected while reducing alert volume by discarding redundant duplicate alerts.
3Measurement precision
If alert suppression is performed manually, then alert management precision is improved, but processing time and productivity deteriorate
Solution Approach 1:
The patent replaces manual alert suppression processes with an automated system that compares data identifiers and suppresses duplicates automatically. This substitution maintains alert management precision through consistent automated decision-making while dramatically improving productivity by eliminating manual processing steps and enabling real-time alert handling.
Solution Approach 2:
The alert management system performs self-service by automatically identifying and suppressing duplicate alerts based on data identifier comparison. This self-service mechanism maintains precise alert management without requiring manual intervention, thereby improving both precision and productivity simultaneously through automated processing.
4Reliability
If comprehensive alert management is implemented, then security reliability is improved, but computational resources and energy consumption increase
Solution Approach 1:
The system extracts and suppresses duplicate alerts from the processing pipeline by comparing data identifiers against historical records. This extraction of redundant alerts reduces the computational workload on subsequent processing stages while maintaining security reliability through targeted suppression of only those alerts that are proven duplicates.
Solution Approach 2:
The system applies partial action by suppressing only duplicate alerts rather than processing all alerts uniformly. This selective approach maintains security reliability through comprehensive monitoring of unique events while reducing computational resource usage by avoiding redundant processing of duplicate alerts.
Data Source
AI summary
There are provided systems and methods for automated alert deduplication or suppression in data processing systems based on recurring data identifiers. An entity, such as company or business, may utilize computing services provided by a service provider. When providing these services, one or more computing services, processors, or the like of the service provider's computing architecture may be used. Use of computing services may generate security alerts when computing events are flagged as risky, fraudulent, malicious, computing attacks, or the like. To automate security alert management, the service provider may utilize an alert management system that may parse and extract data from incoming security alerts and calculate identifiers from such data, such as by transforming or converting using identifier functions. Recurring identifiers may be automatically organized for suppression or deduplication based on past occurrence of such identifiers with other security alerts.