Database Security Driver with External Functions for Query Interception
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Solution Overview
Problem
Existing systems struggle to effectively secure database queries without requiring extensive modifications to application code, as relying on developers to implement SQL-based security is costly and inefficient, leaving applications as the last line of defense against malicious access.
Innovation Solution
Implement a security driver that intercepts database queries through a database driver, applying external functions to enforce security policies transparently, using a translator to manage data access between lower-trust and secure distributed storage, and employing a security driver to classify and route data between these storage types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If developers implement SQL-based security manually, then security control is achieved, but development cost and complexity increase significantly
Solution Approach 1:
The patent introduces a database driver as an intermediary layer between the application and the database. This driver automatically intercepts and validates SQL statements, replacing the need for developers to manually implement security checks. The driver acts as a mediator that enforces security policies transparently, resolving the contradiction by maintaining security control while eliminating development complexity.
Solution Approach 2:
The database driver implements self-service security validation by automatically detecting and validating SQL statements without requiring developer intervention. The system serves its own security needs through automated statement inspection and validation, resolving the contradiction by achieving security control through self-service rather than manual implementation.
2Adaptability or versatility
If applications are the last line of defense, then application autonomy is maintained, but security effectiveness is reduced
Solution Approach 1:
The database driver performs preliminary security validation of SQL statements before they are executed by the application or database. By conducting security checks in advance, the system enhances security effectiveness without interfering with application autonomy. The preliminary action ensures that malicious statements are blocked before they can affect the system.
Solution Approach 2:
The database driver serves as an intermediary that sits between the application and database, enabling security validation without requiring changes to application code. This intermediary approach maintains application autonomy while significantly improving security effectiveness through automated statement inspection.
3Ease of operation
If security policies are applied transparently, then ease of operation is improved, but system complexity increases
Solution Approach 1:
The database driver acts as an intermediary that handles the complexity of security policy enforcement transparently. Applications interact with the driver through a standard interface without needing to understand or configure security policies. The driver absorbs the system complexity while maintaining ease of operation for end users and developers.
Solution Approach 2:
The database driver provides self-service functionality by automatically detecting SQL statements and applying appropriate security policies without requiring user configuration. This self-service approach masks the underlying system complexity while maintaining ease of operation, as the system manages its own security validation autonomously.
Data Source
AI summary
Provided are processes to increase security of database systems, in some cases with transparent retrofits. Examples may include the calling of external functions responsive to a data access event, such as detected by a database driver, upon connection attempt to, request attempt to, or retrieval of data from a database arrangement of a storage environment. The database driver, in response to detecting an event, may perform a call to an API, like a RESTful API, of a component or system that effectuates logic for determining instructions provided back to the database driver for responding to the event.