Context-Aware Security Orchestration Framework
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Solution Overview
Problem
Traditional security frameworks face challenges in providing granular and adaptive access control for users accessing enterprise resources via portable devices, as they lack the ability to dynamically adjust permissions based on context and authentication strength, leading to vulnerabilities in BYOD models and inadequate real-time policy enforcement.
Innovation Solution
A context-aware security orchestration framework that utilizes a data exchange layer (DXL) to connect disparate security controls, enabling real-time policy decisions and enforcement based on contextual data from various sources, including user location, authentication methods, and environmental factors, allowing for dynamic adjustment of access rights and authentication levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional security frameworks use static permission models, then system simplicity is maintained, but adaptability to different contexts and devices is lost
Solution Approach 1:
The patent implements dynamic permission assignment where access rights are not fixed but change based on contextual factors such as device type, user role, location, and time. The system continuously evaluates context data and adjusts permissions in real-time, transforming static security models into adaptive ones that respond to changing conditions without requiring complex manual configuration.
Solution Approach 2:
The system changes security parameters dynamically by modifying permission levels, authentication requirements, and access restrictions based on contextual parameters. Instead of using fixed permission sets, the system adjusts security parameters like authentication strength, session duration, and resource access based on the evaluated context, enabling adaptability without proportional increases in system complexity.
2Measurement precision
If granular access control is implemented, then security precision is improved, but policy management complexity increases
Solution Approach 1:
The patent segments the security policy management into distinct modular components: context data collection modules, context evaluation modules, policy decision modules, and enforcement modules. Each component handles a specific aspect of the granular access control process, making the overall system more manageable. The segmentation allows precise control over individual resources while distributing the management complexity across multiple specialized components rather than one monolithic system.
Solution Approach 2:
The system introduces context evaluation as an intermediary layer between resource requests and permission enforcement. This intermediary analyzes contextual data and translates it into specific permission decisions, simplifying the management of granular access control by providing a systematic mediation process. The intermediary handles the complexity of evaluating multiple context factors and mapping them to appropriate permission levels, reducing the burden on policy administrators.
3Speed
If real-time policy enforcement is implemented, then security responsiveness is improved, but processing time and system overhead increase
Solution Approach 1:
The system performs preliminary actions by pre-evaluating context data and pre-determining permission decisions before actual resource access requests occur. Contextual information is collected and processed in advance, and policy rules are pre-configured and cached. When access requests are made, the system can quickly retrieve pre-evaluated decisions rather than performing full real-time analysis, maintaining responsiveness while reducing actual processing time at the moment of access.
Solution Approach 2:
The system maintains continuous context evaluation and policy enforcement operations, keeping security assessments ongoing rather than interrupting业务流程 for discrete checks. By continuously monitoring context changes and maintaining active policy evaluation, the system achieves real-time responsiveness without the overhead of repeated full authentication cycles. The continuous operation allows the system to detect and respond to context changes efficiently, reducing processing time for individual access decisions.
Data Source
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AI summary
In an example, there is disclosed a computing apparatus, including: a network interface; one or more logic elements providing a security orchestration server engine operable for: receiving contextual data from a client via a network interface; providing the contextual data to a security orchestration state machine, the security orchestration state machine operable for deriving a policy decision from the contextual data; and receiving the policy decision from the policy orchestration state machine. There is also disclosed one or more tangible, non-transitory computer-readable mediums having stored thereon executable instructions for providing a security orchestration engine, and a method of providing a security orchestration engine.