Enterprise Identity Risk Scoring From Breached Credentials
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing cybersecurity systems struggle to efficiently and proactively identify and mitigate risks associated with compromised user credentials, leading to increased account takeovers and data breaches due to poor password hygiene and inadequate response to exposed security credentials.
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 potential security threats, and provides this score for proactive security actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If online services maintain databases of breached credentials and provide query interfaces, then users can determine if their credentials have been compromised, but the system is too rarely accessed and cannot provide timely protection against account takeovers
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and updating credentials in the database before they are exploited. When a credential is added to the database, the system proactively notifies associated user accounts in advance, enabling users to change passwords before account takeover can occur. This preliminary notification mechanism transforms reactive credential checking into proactive security protection.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring credential databases and providing real-time notifications to users when their credentials are detected. The feedback loop includes: (1) detecting compromised credentials in the database, (2) notifying associated user accounts, (3) enabling users to take corrective action, and (4) updating the database with new credential information. This continuous feedback ensures timely response to credential compromises.
2Reliability
If enterprise networks implement comprehensive security monitoring and response mechanisms, then security threats can be detected, but propagating appropriate changes throughout the network is high-latency and complex
Solution Approach 1:
The system extracts the core security function from complex enterprise network infrastructure by implementing a standalone credential monitoring service. Instead of requiring enterprises to deploy comprehensive security monitoring systems, the invention extracts only the essential function of credential checking and notification, making it accessible through simple API calls to an external service. This reduces implementation complexity while maintaining security effectiveness.
Solution Approach 2:
The system achieves universality by providing a multi-functional credential security service that can be integrated into diverse enterprise environments through standardized interfaces. The service simultaneously supports: (1) credential monitoring, (2) real-time notification, (3) account protection, and (4) security analytics. This universal approach allows different enterprise networks to benefit from the same security mechanism without requiring complex custom implementations.
3Reliability
If password security practices are strengthened to prevent credential theft, then account takeovers can be reduced, but modern GPU-based cracking techniques and rainbow tables enable rapid password testing that undermines traditional security measures
Solution Approach 1:
The system applies preliminary anti-action by proactively detecting and neutralizing compromised credentials before they can be exploited by attackers. When a password is added to the monitoring database, the system immediately flags associated accounts and notifies users to change their passwords. This preliminary intervention occurs before malicious actors can use the credential for account takeover, effectively countering the productivity advantage of rapid password cracking techniques.
Solution Approach 2:
The system converts the harm of credential exposure into benefit by using the same data that attackers need to compromise accounts as the foundation for protecting those accounts. By monitoring credential databases that contain stolen passwords and using this information to notify users and block attacks, the system transforms malicious data into a security asset. The compromised credentials become the very tool used to prevent their misuse.
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.