Custom Object Data Destruction Using Audit-Area Lifecycle Mapping
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Solution Overview
Problem
Enterprises face challenges in managing data destruction to comply with varying data retention and privacy requirements across different countries and industries, leading to increased resource usage and carbon footprints, while custom applications deployed on cloud platforms need to adhere to specific data destruction rules.
Innovation Solution
A system for data destruction management that includes creating data destruction and information lifecycle management objects, linking them, grouping into audit areas with similar contexts, and scheduling batch jobs for data destruction based on retention policies, ensuring compliance with regional regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is retained longer to comply with varying data retention requirements across different countries and industries, then compliance with regulatory requirements is improved, but resource usage and carbon footprints increase
Solution Approach 1:
The system segments data destruction management by creating separate data destruction objects and information lifecycle management objects for different custom objects. Each object can have its own retention policy configured according to specific regulatory requirements, allowing differentiated retention periods for different data types while optimizing resource usage overall
Solution Approach 2:
The system implements dynamic data retention policies where retention periods are not fixed but can be adjusted based on regulatory requirements, data types, and compliance needs. The batch job scheduling allows flexible timing of data destruction operations, enabling optimization of resource usage while maintaining compliance
2Adaptability or versatility
If custom applications are deployed on cloud platforms with specific data destruction rules, then adaptability to different regulatory environments is improved, but system complexity increases
Solution Approach 1:
The system introduces intermediary objects (data destruction objects and information lifecycle management objects) that act as mediators between custom applications and cloud platform data destruction rules. These intermediary objects encapsulate the complexity of regulatory compliance, allowing applications to remain simple while still adhering to diverse regulatory requirements through standardized interfaces
Solution Approach 2:
The data destruction management system implements universal objects that can handle multiple types of custom objects and apply to different regulatory environments. The batch job mechanism provides a unified approach that works across various cloud platforms and regulatory requirements, reducing overall system complexity through standardization
Data Source
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AI summary
In some embodiments, there is provided a computer-implemented method for data destruction management including creating a data destruction object linked to a custom object; creating an information lifecycle management object linked to the data destruction object; grouping the information lifecycle management object into an audit area comprising information lifecycle management objects having a similar context, wherein a data retention policy is created, while in the audit area, for the information lifecycle management object; scheduling a data destruction batch job selecting a data destruction object for destruction which is mapped to information lifecycle management object; and destroying, based on the scheduling, one or more data of the customized object; and verifying the destroy based on a check of a destruction logRelated systems, methods, and articles of manufacture are also disclosed.