Anonymous Account Security Exchange for Cross-Organization Threat Detection
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Solution Overview
Problem
Current security measures lack a centralized framework to effectively share and compare anonymized user account information across organizations, making it difficult to identify and mitigate cyber threats while maintaining data privacy and compliance with regulations.
Innovation Solution
An anonymous account security data exchange system that allows organizations to share anonymized user account information for security purposes, using standardized anonymization processes to protect privacy, compare, and match data without de-anonymization, enabling organizations to perform risk mitigation activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If organizations share user account information for security purposes, then security threat identification capability is improved, but data privacy protection deteriorates
Solution Approach 1:
The patent extracts and removes personally identifiable information (PII) from user account data before sharing it across organizations. Only anonymized identifiers and security-relevant features are exchanged, while sensitive personal data remains isolated within each organization's secure environment. This extraction approach enables security collaboration without exposing private user information.
Solution Approach 2:
The patent introduces a trusted intermediary platform that facilitates secure data exchange between organizations. This intermediary receives anonymized data from participating organizations, performs matching and analysis, and returns results without any single organization having access to raw personal data from other organizations. The intermediary acts as a mediator that enables collaboration while maintaining privacy boundaries.
2Measurement precision
If organizations share detailed user account information, then security analysis accuracy is improved, but compliance with data privacy regulations deteriorates
Solution Approach 1:
The patent applies different levels of data anonymization and aggregation to different types of information based on their security value and privacy sensitivity. Critical security identifiers are preserved in detailed form for accurate matching, while personally identifiable information is heavily aggregated or removed. This local quality approach maintains analysis accuracy for security purposes while ensuring compliance with privacy regulations for personal data.
3Reliability
If a centralized system collects all user account information, then threat detection capability is improved, but system complexity and security risk deteriorate
Solution Approach 1:
The patent segments the centralized data collection architecture into distributed autonomous nodes (organizations) that each maintain their own data locally. Instead of one central repository, multiple decentralized data sources contribute anonymized information to a coordinated analysis system. This segmentation reduces the attack surface, eliminates single points of failure, and distributes system complexity across independent entities while maintaining collective threat detection capability.
Data Source
AI summary
Methods, systems, and computer program products for providing anonymized account security services are disclosed. For example, a computer-implemented method may include an anonymous account security exchange for receiving anonymized user account information for a first user account identified as a security risk from a first organization associated with the first user account, receiving anonymized user account information for a second user account from a second organization associated with the second user account, determining that the anonymized account identifier associated with the first user account matches the anonymized account identifier associated with the second user account, and providing a notification to the second organization indicating that the second user account is associated with a different user account identified as a security risk by another organization.