Zero-Trust Session Authentication Risk-Based Mitigation
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Solution Overview
Problem
Zero-trust systems often enforce stringent mitigation actions on all users equally, which can lead to reduced productivity for users with limited access to enterprise resources, as they are frequently flagged for location and network changes, despite posing a lower risk of data leakage.
Innovation Solution
A computing environment that assesses the security posture of users, client devices, and network conditions, considering the user's role and access level, to tailor remedial actions based on individual risk levels, allowing for more nuanced and context-dependent mitigation strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If zero-trust systems enforce stringent mitigation actions on all users equally, then security posture is improved, but productivity deteriorates for users with limited access
Solution Approach 1:
The patent applies local quality by differentiating mitigation actions based on user risk levels. Instead of uniform treatment, the system tailors security measures to individual users' access levels and risk profiles, applying stricter controls to high-risk users while allowing more flexible access to low-risk users, thus resolving the contradiction between security and productivity
Solution Approach 2:
The system segments users into different risk levels (e.g., low, medium, high risk) and applies differentiated mitigation actions to each segment. This segmentation allows the system to maintain strong security for high-risk users while minimizing interruptions for low-risk users, thereby addressing the contradiction between maintaining security posture and preserving productivity
2Reliability
If zero-trust systems apply uniform mitigation actions to all users, then security consistency is improved, but user experience deteriorates
Solution Approach 1:
The patent implements local quality by customizing the user experience based on individual risk levels. Each user receives tailored mitigation actions appropriate to their access level and risk profile, improving ease of operation for low-risk users while maintaining security consistency through standardized risk assessment frameworks
3Reliability
If zero-trust systems continuously monitor and flag location/network changes, then security detection is improved, but system complexity increases
Solution Approach 1:
The system dynamically adjusts monitoring intensity and mitigation actions based on real-time risk assessment. Instead of continuous uniform monitoring, the system adapts its detection and response behaviors to individual user risk levels, improving security detection effectiveness while managing system complexity through conditional logic
Data Source
AI summary
Various examples are disclosed for a zero-trust authentication model for user sessions. Upon user authentication of a session, security posture assessments can be performed that analyze an ongoing or continuous state of the user, client device, or network conditions. Remedial measures or mitigation procedures can be performed to address potential non-compliance of the session.