Adaptive Access Control Policies for Dynamic Permission Adjustment
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Solution Overview
Problem
Implementing and managing least privilege security policies is challenging, especially in complex systems with multiple users and resources, due to mismatched client capabilities and changing user permissions, leading to potential security risks and inefficiencies.
Innovation Solution
A system that uses adaptive access management through web service API requests, monitoring user activity, and dynamically adjusting permissions based on recorded activity data and metadata, applying adaptive policies to grant or deny access to computing resources, and requiring additional authentication when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static permission policies are granted to clients, then clients can perform required actions, but clients may retain unnecessary permissions that increase security risk
Solution Approach 1:
The patent implements dynamic permission policies that automatically adjust client access rights based on monitored activity patterns. The system observes client behavior over time and modifies permissions to match actual usage, transforming static permission assignments into adaptive, living policies that reduce security risks while maintaining operational ease.
Solution Approach 2:
The system incorporates feedback loops where client activity is continuously monitored and fed back into the permission management system. This feedback mechanism enables the system to learn from actual usage patterns and automatically adjust permissions, resolving the contradiction between security and operational ease by making permission management self-regulating.
2Adaptability or versatility
If comprehensive permissions are granted to maintenance clients, then essential functions can be performed, but supporting systems may be broken by unnecessary changes
Solution Approach 1:
The system performs preliminary analysis of client activity patterns before granting or modifying permissions. By monitoring and understanding what actions clients actually need to perform their maintenance functions, the system can pre-configure appropriate permission levels that enable essential work while preventing access to unrelated systems that could cause harm.
Solution Approach 2:
The patent applies different permission levels to different clients based on their specific roles and observed activity patterns. Instead of uniform comprehensive permissions, each client receives tailored access rights localized to their specific maintenance needs, enabling them to perform essential functions while limiting exposure to systems they don't need to access.
3Ease of operation
If permission policies are manually managed in complex systems, then access control can be implemented, but the complexity of multiple users and resources makes it difficult
Solution Approach 1:
The system implements self-service permission management where the system automatically monitors client activity, analyzes patterns, and adjusts permissions without manual intervention. This self-service approach handles the complexity of multiple users and resources automatically, making access control easy to maintain despite system complexity.
Solution Approach 2:
The patent dynamically changes permission parameters based on observed client behavior and system conditions. Rather than manually configuring static parameters, the system automatically adjusts permission parameters in response to changing conditions, reducing the operational burden of managing complex multi-user systems.
4Productivity
If clients are given broad access rights, then they can be more efficient, but credentials may be stolen or used improperly with no value
Solution Approach 1:
The system implements dynamic permission adjustment that responds to changing conditions including security events. When credentials are compromised or abnormal activity is detected, the system automatically reduces permissions while maintaining client efficiency for legitimate operations, resolving the contradiction between productivity and credential security.
Solution Approach 2:
The system incorporates security feedback mechanisms that monitor client activity for signs of credential compromise. When suspicious patterns are detected, the feedback loop triggers automatic permission reductions, maintaining client efficiency for legitimate work while protecting against stolen or misused credentials.
Data Source
AI summary
A set of parameters for a set of permissions are determined based at least in part on previous requests to access a set of resources by a principal or user. The set of permissions are updated based at least in part on the set of parameters such that the set of parameters cause different requests to have different authentication requirements. The updated set of permissions is enforced to control access to computing resources such as the set of resources.