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 to automatically suppress and deduplicate recurring security alerts through unique identifier calculations, such as UUID and hashing algorithms, to reduce manual effort and enhance 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 operational complexity increase significantly
Solution Approach 1:
The system enables self-service alert management by automatically suppressing duplicate alerts based on recurring data identifiers. The alert management system compares incoming alert data against stored historical data, identifies duplicates using hashing algorithms, and automatically suppresses redundant alerts without requiring manual intervention, thereby reducing operational complexity while maintaining reliability
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring alert patterns and using historical data to inform future alert suppression decisions. The system learns from past alert resolutions and adjusts its suppression logic accordingly, improving both reliability and efficiency over time
2Reliability
If security alert volume increases with system scaling, then coverage and detection capability are improved, but processing burden and cost increase
Solution Approach 1:
The system extracts and removes duplicate alerts from the processing stream by identifying them through recurring data identifiers and suppressing them automatically. This extraction of redundant information maintains comprehensive security coverage while significantly reducing the processing burden on the system
Solution Approach 2:
The system changes the state of alert processing by introducing suppression flags and status modifications. Alerts are marked as suppressed or processed based on their uniqueness, allowing the system to maintain thorough monitoring while optimizing processing efficiency through state-based management
3Measurement precision
If all security alerts are processed manually, then investigation quality is improved, but time consumption and operational cost increase
Solution Approach 1:
The system performs preliminary action by automatically suppressing duplicate alerts before they reach manual triage. By pre-processing alerts and removing obvious duplicates using data identifier comparison, the system preserves investigation quality for unique alerts while eliminating time-consuming manual review of redundant 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.