Data Platform Segments for Constraint-Isolated Security Enforcement
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Solution Overview
Problem
Conventional data security approaches in data platforms lack well-defined implementation details, particularly in enforcing different security policies across segments, propagating constraints inconsistently, and failing to address conjunctive and disjunctive constraints.
Innovation Solution
Implementing data security controls within a data platform by defining constraints and classification levels at the segment level, insulating them from inheritance, and controlling resource ingestion based on these constraints, including maximum classification levels, mirrored user constraints, and category-specific dissemination and release controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data security controls are implemented at the resource level, then data governance can be enforced, but the constraints cannot be properly propagated to segments and individual resources
Solution Approach 1:
The patent introduces segments as intermediate containers between data resources and security constraints. Each segment can have its own constraint set, allowing hierarchical organization of security policies. This segmentation enables constraints to be applied at multiple levels (platform, segment, resource) without creating a monolithic complex system.
Solution Approach 2:
The patent uses constraint propagation mechanisms that act as intermediaries between security policies and resources. The system automatically propagates constraints from segments to resources, eliminating the need for manual configuration at every level and simplifying the overall enforcement architecture.
2Reliability
If constraints are propagated to downstream resources, then security coverage is improved, but overclassification may occur
Solution Approach 1:
The patent allows different segments to have different constraint sets, enabling localized security policies tailored to specific data characteristics. Each segment can independently define its maximum classification level and constraint requirements, preventing uniform overclassification while ensuring adequate security coverage for each data type.
Solution Approach 2:
The system applies constraints partially at the segment level rather than universally at the resource level. By defining maximum classification levels at the segment level, the system provides sufficient security coverage without automatically applying overly restrictive constraints to individual resources that may not require such high security levels.
3Manufacturing precision
If segment-level constraints are defined, then policy enforcement precision is improved, but resource inheritance of constraints is blocked
Solution Approach 1:
The patent implements dynamic constraint propagation where constraints can be actively enforced at segment level while allowing resources to inherit baseline security properties. The system dynamically adjusts constraint application based on the specific resource characteristics and segment requirements, balancing precision with adaptability.
Data Source
AI summary
Computing systems and methods are provided for defining, within a data platform, a segment having constraints at a level of the segment, implementing the constraints or the classification rules within the segment while insulating resources within the segment from inheriting the constraints, and controlling an ingestion of an external resource into the segment based on the constraints.