Centralized Data Egress Validation System
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Solution Overview
Problem
Existing data egress validation systems from isolated computing environments require manual intervention, certification of user code, and circumvention of system-specific controls, making them difficult to scale, develop, and maintain, especially when dealing with different egress mechanisms and data types.
Innovation Solution
A centralized and customizable data egress validation system that uses a policy framework and data evaluation service, allowing users to programmatically submit egress requests, with a decoder specific to each data type to validate compliance with predefined policies, preventing unauthorized data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual intervention and certification of user code are required for data egress validation, then security control is improved, but system complexity and difficulty of maintenance increase
Solution Approach 1:
The validation system automatically validates data egress requests without requiring manual intervention or certification of user code. The system self-manages the validation process through automated policy evaluation and decoder execution, eliminating the need for human operators to manually review and certify each egress request.
Solution Approach 2:
The validation system is designed to handle multiple data types and egress mechanisms through a unified framework. Decoders are registered for different data types (CSV, JSON, Parquet, etc.) and the system automatically selects and applies the appropriate decoder based on the request, providing universal validation capabilities across diverse scenarios.
2Ease of operation
If system-specific controls are circumvented for data egress, then ease of operation is improved, but security and compliance are worsened
Solution Approach 1:
The validation system acts as an intermediary between data egress requests and the isolated computing environment. It receives egress requests, validates them against security policies, and only permits data transfer when validation succeeds. This intermediary approach maintains security controls while enabling legitimate egress operations without requiring circumvention.
3Adaptability or versatility
If different validation systems are built for different egress mechanisms, then adaptability to specific mechanisms is improved, but device complexity and scalability are worsened
Solution Approach 1:
A single validation system handles multiple egress mechanisms (email, S3, SMS, etc.) and data types through a unified architecture. The system registers and manages multiple decoders for different data formats and automatically selects the appropriate decoder based on the request, eliminating the need for separate validation systems for each mechanism.
Solution Approach 2:
The validation system is segmented into independent, registered decoder components that can be individually added, removed, or updated. Each decoder handles a specific data type, and the modular registration mechanism allows the system to adapt to new data types without restructuring the entire validation framework.
4Manufacturing precision
If developers create custom validation systems for their specific requirements, then validation precision is improved, but ease of manufacture and deployment are worsened
Solution Approach 1:
The system allows developers to register custom decoders and validation rules through a standardized registration mechanism. Rather than requiring developers to build entire validation systems, they can register their custom decoders with the existing validation framework, which automatically integrates them into the validation process.
Data Source
AI summary
Devices and techniques are generally described for centralized data egress validation. In various examples, a request to send first data to a first destination may be received. In some examples, a first decoder that corresponds to a format of the first data may be determined. In further examples, a policy associated with the first decoder may be determined. In some examples, second data may be generated using the first decoder to parse the first data according to the policy. In various examples, the second data may be evaluated using the policy and a determination may be made whether the first data is permissible to send to the first destination.