Automated Credential Compromise Detection and Access Control
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Solution Overview
Problem
Existing computer security methods are inadequate in identifying and addressing compromised credentials, as they often require user intervention and lack automation, leading to inefficiencies in protecting against fraud and identity theft, especially when users reuse credentials across multiple services.
Innovation Solution
A method that automatically identifies compromised credentials, processes them, and modifies account access without user intervention, utilizing a multi-factor authentication platform to monitor and control account activity, including generating at-risk credentials using machine learning and presenting data to administrators for effective threat mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional e-mailing systems are used to notify users of compromised credentials, then users can be informed of their account status, but users must manually sign up for the service and take manual actions to protect their accounts
Solution Approach 1:
The system automatically detects compromised credentials through machine learning analysis of credential data from breaches, generates alerts without user signup, and provides automated remediation guidance. The multi-factor authentication platform self-manages the security monitoring and notification process, eliminating the need for users to manually enroll in security services.
Solution Approach 2:
The system proactively identifies compromised credentials before attackers can exploit them by continuously monitoring credential breaches and comparing them against stored credential patterns. Alerts are generated and delivered to users before they can be used for fraud or identity theft, enabling preventive rather than reactive security measures.
2Ease of operation
If users reuse credentials across multiple services, then ease of access is improved, but the impact of credential compromise spreads across multiple accounts and services
Solution Approach 1:
The multi-factor authentication platform serves multiple services and accounts through a unified system. When credentials are compromised in any service, the platform detects the compromise and can generate alerts across all connected accounts, providing universal protection regardless of which service the breach originated from.
Solution Approach 2:
The system continuously monitors credential data from multiple sources including breach databases and authentication attempts. When compromised credentials are detected, the system provides feedback through automated alerts to users and can trigger remediation actions across all affected accounts, creating a closed-loop security system that adapts to new threats.
3Productivity
If automated systems are implemented to identify and respond to compromised credentials, then response efficiency is improved, but system complexity increases
Solution Approach 1:
The patent employs machine learning models as intermediaries between raw credential data and security decision-making. The ML models automatically analyze credential patterns, compare them against breach databases, and generate alerts, serving as an intelligent mediator that handles the complexity of automated security analysis while presenting simple outcomes to users.
Data Source
AI summary
A system and method includes at an authentication platform that is implemented via one or more computing servers: identifying compromised credential data, wherein compromised credential data comprise compromised credentials for one or more compromised accounts that have been exposed to a malicious actor via an illegitimate method, the compromised credentials including credentials that are useable for authentication to or for accessing the one or more compromised accounts; testing the compromised credentials, wherein testing compromised credentials includes using the compromised credentials to determine a useablility of the compromised credentials to attack one or more different accounts from the one or more compromised accounts; and modifying account access associated with one or more of (i) the one or more compromised accounts and (ii) the one or more different accounts.