Adaptive Security Policy Management for Information Handling Systems
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Solution Overview
Problem
Existing Information Handling Systems (IHSs) face challenges in dynamically managing security states based on changing logical and physical environments, leading to inefficiencies and security vulnerabilities due to conflicting security policies and manual updates.
Innovation Solution
An IHS that collects context information to determine security states, updates security policies, and notifies registered participants of changes, using a platform framework to orchestrate security management across hardware and software components, enabling adaptive security policies based on user presence, location, and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security policies are manually updated in existing IHSs, then security management can be performed, but it leads to conflicts between policies and manual errors
Solution Approach 1:
The system automatically detects context changes (location, user presence, environmental conditions) and dynamically updates security policies without manual intervention. The platform framework monitors contextual parameters and autonomously adjusts security states, eliminating manual errors and policy conflicts while maintaining reliability.
Solution Approach 2:
The system continuously monitors contextual information (geolocation, user presence detection, environmental sensors) and uses this feedback to dynamically adjust security policies. When context changes are detected, the system automatically updates security states and notifies affected participants, ensuring policy consistency without manual intervention.
2Adaptability or versatility
If security policies are statically configured, then system complexity is reduced, but the system cannot adapt to changing environments
Solution Approach 1:
Security policies transition from static configurations to dynamic states that automatically adjust based on contextual changes. The system monitors location, user presence, and environmental conditions, then dynamically modifies security policies in real-time. This allows the system to adapt to changing environments while the platform framework manages the complexity of coordination and notification.
Solution Approach 2:
The platform framework serves multiple functions: it monitors contextual information, determines security states, updates security policies, identifies affected participants, and notifies them of changes. This multi-functional approach enables environmental adaptation while centralizing complexity management in a single framework rather than distributing it across multiple components.
3Productivity
If security policies are dynamically updated without notification, then response time is improved, but affected users are unaware of policy changes
Solution Approach 1:
When the system dynamically updates security policies based on contextual changes, it simultaneously notifies all affected platform framework participants. The notification mechanism ensures users are aware of policy changes while the automated process maintains rapid response times. This feedback loop preserves both productivity and information completeness.
Data Source
AI summary
Embodiments of systems and methods for platform framework security state management are described. In some embodiments, an Information Handling System (IHS) collects context information that describes logical and physical environments in which the IHS is operating. This context information is used to determine a security state for the IHS. A launch of a resource of the IHS is detected. In response, updated context information is collected that further describes the logical and physical environments. Based on the security state, the launched resource and the updated context information, an updated security state of the IHS is determined. Based on the updated security state, changes are determined to security policies that are used to operate hardware devices of the IHS. Platform framework participants are identified that are registered users of the security polices affected by the updated security state, and these participants are notified of the security policy changes.