Distributed Security Monitoring for Compromised Identity Detection
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Solution Overview
Problem
Data breaches in electronic data repositories expose user personal data, leading to increased malicious use and unauthorized access, with existing systems lacking effective methods to identify compromised information and notify affected users.
Innovation Solution
A distributed computing system comprising an ingestion & rules engine, compromised identity set service, and message bus that autonomously processes data breaches to identify compromised user information, generate notifications, and communicate with identity systems and external services to enhance security monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is stored in electronic data repositories for authentication purposes, then user access to services is enabled, but user personal data becomes vulnerable to data breaches and malicious use
Solution Approach 1:
The system performs preliminary actions by continuously monitoring data breach sources and proactively identifying compromised user information before malicious actors can utilize it. The ingestion engine continuously ingests breach data and the rules engine continuously evaluates it against stored user information, enabling preventive security measures rather than reactive responses.
Solution Approach 2:
The system introduces an intermediary security monitoring system between data repositories and external services. This intermediary layer includes the ingestion engine that collects breach data, the rules engine that compares breach data with user information, and the notification service that alerts affected users, creating a protective buffer that prevents direct exposure to malicious actors.
2Device complexity
If existing security systems are used without enhancement, then system simplicity is maintained, but the ability to identify compromised information and notify users is insufficient
Solution Approach 1:
The security monitoring system is segmented into distinct functional modules: an ingestion engine for collecting breach data from multiple sources, a rules engine for comparing breach data with user information using defined criteria, and a notification service for alerting users. This segmentation allows each component to perform its specific function efficiently while maintaining overall system manageability and clarity.
Solution Approach 2:
The system achieves multi-functionality by integrating multiple capabilities into a single unified platform: data collection from various breach sources, automated comparison with user information using configurable rules, risk score calculation, and user notification. This universal approach consolidates what would otherwise require separate systems into one cohesive security monitoring solution.
3Device complexity
If manual monitoring of data breaches is performed, then system complexity is reduced, but the speed and efficiency of identifying compromised data is insufficient
Solution Approach 1:
The system performs self-service by automatically ingesting breach data from multiple sources, autonomously comparing it with stored user information using the rules engine, calculating risk scores, and notifying affected users without requiring manual intervention. The system monitors itself and responds autonomously to security threats, eliminating the need for manual security analysis while maintaining high identification speed and efficiency.
Data Source
AI summary
A security monitoring system is a network of distributed computing systems. The distributed computing systems include an ingestion & rules engine, a compromised identity set service, and a message bus. The ingestion & rules engine, the compromised identity set service, and the message bus may be separated in the security monitoring system geographically from any other distributed computing system in the security monitoring system. The security monitoring system may communicate electronically with an information distributor, an identity system, and external services.