Federated Retention Policy Mapping Across Cloud and Off-Cloud Repositories
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Solution Overview
Problem
Existing records retention solutions are inadequate for scaling up to manage large volumes of data across disparate repositories, as they require manual configuration and are inefficient, error-prone, and lack scalability, especially in compliance with global data protection laws like GDPR and HIPAA.
Innovation Solution
A cloud-based federated compliance orchestration system that maps metadata across disparate repositories, allowing centralized management and automatic policy propagation, using a federated retention policy mapper and orchestrators to synchronize policies across on-prem and cloud environments, leveraging a hybrid platform with microservices for efficient compliance validation and enforcement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration methods are used for records retention compliance, then implementation is possible across disparate repositories, but scalability is limited and human error increases
Solution Approach 1:
The patent introduces a federated compliance orchestration system that acts as an intermediary layer between disparate repositories and compliance policies. This orchestration system includes a policy mapper that translates organizational policies into repository-specific configurations automatically, eliminating manual configuration while managing complexity through abstraction. The system mediates between different repository types (cloud-based and on-premises) and unified compliance requirements, enabling scalable compliance without proportional increases in operational complexity.
Solution Approach 2:
The compliance system is segmented into modular components: a policy mapping engine, repository connectors, and enforcement modules. Each connector is independently configured for specific repository types, allowing the system to scale by adding or removing segments rather than reconfiguring the entire system. This segmentation enables the orchestration layer to manage complexity internally while presenting a simplified interface for policy management.
2Reliability
If centralized policy management is implemented across distributed repositories, then compliance consistency is improved, but data transmission and synchronization time increases
Solution Approach 1:
The system performs preliminary policy mapping and validation before deployment to repositories. The policy mapper pre-processes compliance policies into repository-specific configurations, validating syntax and semantics in advance. This preliminary action ensures that when policies are pushed to distributed repositories, they are ready for immediate enforcement without requiring iterative synchronization, reducing the time needed to achieve compliance consistency across the distributed system.
Solution Approach 2:
The orchestration system implements feedback mechanisms that monitor policy enforcement status across repositories and automatically trigger re-synchronization only when changes are detected. This event-driven feedback approach maintains compliance consistency by updating repositories selectively rather than continuously, minimizing synchronization time while ensuring reliability. The system tracks policy versions and repository states, initiating updates only when necessary.
3Measurement precision
If comprehensive compliance validation is performed across all repositories, then detection accuracy is improved, but processing load increases
Solution Approach 1:
The validation system applies different levels of scrutiny to different repositories based on their risk profiles, data sensitivity, and compliance requirements. High-priority repositories with sensitive data undergo comprehensive validation, while lower-priority repositories receive streamlined checking. This local quality approach maintains high detection accuracy for critical compliance issues while reducing overall processing load by avoiding uniform exhaustive validation across all repositories.
Solution Approach 2:
The system performs partial validation by focusing on critical compliance elements first, such as data classification accuracy and retention policy enforcement. Rather than validating every aspect of each repository equally, the system prioritizes validation of high-impact compliance requirements. This selective validation approach achieves sufficient detection accuracy for regulatory compliance while consuming fewer computational resources than complete exhaustive validation.
Data Source
AI summary
Through a cloud-based centralized user interface, a federated compliance system presents a policy of interest and representations of disparate systems that match the policy of interest to a user. The disparate systems, which operate in a distributed network computing environment, can include cloud-based repositories and off-cloud repositories. The federated compliance system can pull the cloud-based repositories through a cloud orchestrator and the off-cloud repositories through an off-cloud orchestrator over a secure tunnel. The federated compliance system utilizes user-provided information on the policy of interest to determine various categories of attributes from different repository schemas employed by the disparate systems. A federated retention policy mapper, implemented as a compliance service, maps the attributes to a common schema, creates a federated retention policy, and stores it in a federated space in the distributed network computing environment. A policy change can be automatically propagated across the disparate systems using the federated retention policy.