Identity Risk Scoring for Faster Enterprise Credential Threat Detection
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Solution Overview
Problem
Existing cybersecurity systems struggle to efficiently and proactively identify and mitigate risks associated with stolen or compromised user credentials, leading to increased account takeovers and data breaches in enterprise networks.
Innovation Solution
A system that integrates a repository of breached credentials and user information assets to generate an identity risk score in real-time, indicating the potential security threat posed by a user, and facilitates proactive security actions based on this score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a system queries breached credentials databases to check user security risk, then the ability to detect compromised credentials is improved, but the response time increases due to network latency and data retrieval operations
Solution Approach 1:
The system performs preliminary actions by proactively monitoring and indexing breached credentials from multiple data sources before they are needed for authentication. The credential verification system maintains pre-fetched lists of compromised credentials, allowing rapid comparison during login attempts without requiring real-time external database queries, thus reducing response time while maintaining detection accuracy.
2Reliability
If the system implements comprehensive security checks for all user authentication requests, then security coverage is improved, but the authentication speed decreases due to additional verification steps
Solution Approach 1:
The system applies partial security checks by implementing tiered authentication verification. For high-risk scenarios (such as failed login attempts, unusual login locations, or newly created accounts), the system performs comprehensive credential checks against breached databases. For low-risk scenarios, the system uses faster, lighter verification methods, thus maintaining high security coverage for critical cases while preserving overall authentication speed through selective application of security measures.
3Reliability
If the system stores and processes large volumes of user credential data for security monitoring, then the completeness of security checks is improved, but the system complexity increases due to data management requirements
Solution Approach 1:
The system segments the credential data management function by separating the authentication process into distinct modules: credential verification, risk assessment, and security monitoring. The credential verification module handles stored credential comparisons, while the risk assessment module independently analyzes user behavior patterns and contextual factors. This segmentation allows each module to manage specific data types efficiently, reducing overall system complexity while maintaining complete security checking capabilities.
Data Source
AI summary
A process that includes receiving an identity risk query for a user, accessing a security database of available user information associated with a plurality of users, and identifying that the user is associated with first available user information of the available user information included in the security database. The process also includes generating a first identity risk score for the user based on the first available user information, and providing the first identity risk score in response to the identity risk query.