Data Governance Service With Automated Policy Enforcement

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Solution Overview

Problem

Traditional data governance systems struggle to keep up with the rapid changes in cloud data storage and agile development, leading to increased penalties and breaches due to a lack of integrated end-to-end governance, unclear roles and responsibilities, and inefficient data management across multiple subsets of an organization.

Innovation Solution

Implementing Data Governance as a Service (DGaaS) using trained machine learning models to centralize data governance, automate processes, and enforce policies across an organization's data systems, ensuring standardized data ownership and proactive management through registration, maintenance, and retention processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional data governance systems are used, then data management processes are established, but they cannot keep up with rapid changes in cloud data storage and agile development, leading to increased penalties and breaches

Engineering Contradiction:

Improveadaptability to cloud data storage changesVSAvoidcompliance reliability

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements dynamic data governance through continuous monitoring and automated policy application that adapts to changing data landscapes. The system dynamically adjusts governance rules based on real-time data classification and risk assessment, enabling compliance maintenance despite rapid cloud storage changes and agile development cycles.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system employs automated self-service mechanisms including automatic data classification, policy enforcement, and compliance reporting. Machine learning models automatically classify data and apply appropriate governance policies without manual intervention, enabling the system to self-adjust to new data types and storage configurations while maintaining compliance reliability.

Inventive Principle:

Principle #25Self-service

2Ease of operation

If traditional data governance systems are used, then basic data management is performed, but roles and responsibilities remain unclear across multiple subsets of an organization

Engineering Contradiction:

Improveclarity of roles and responsibilitiesVSAvoidgovernance system complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent segments data governance into distinct functional modules with clearly defined roles: data classification engine, policy management system, compliance monitoring component, and reporting module. Each module has specific responsibilities and interfaces, making roles and responsibilities transparent across organizational subsets while managing overall system complexity through modular architecture.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system implements universal governance policies that can be applied across multiple data subsets and organizational units through a single centralized platform. The policy engine provides multi-functional capabilities to enforce classification, access control, retention, and compliance rules uniformly across diverse data environments, simplifying role definition while maintaining comprehensive coverage.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If traditional data governance systems are used, then data management processes exist, but they are inefficient across multiple subsets of an organization

Engineering Contradiction:

Improvedata management efficiencyVSAvoidgovernance implementation time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical governance processes with automated computational systems. Machine learning models automatically classify data, rule engines automatically enforce policies, and monitoring systems automatically generate compliance reports. This substitution eliminates manual intervention in routine governance tasks, dramatically improving productivity while reducing the time required for governance implementation across organizational subsets.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260105043A1Systems and methods for data governance as a service

Publication Date: 2026.04.16 CAPITAL ONE SERVICES LLC

AI summary

Systems and methods for performing data governance as a service is disclosed and may include onboarding a database to a governance as a service system, the database including at least one data set, executing, via the data governance as a service system, at least one core capability, wherein the at least one core capability is applicable to the at least one data set, determining data governance metadata for the at least one data set, wherein the data governance metadata is a subset of a data set metadata, applying at least one policy rule of the core capability to the data governance metadata, determining a violation based on applying the at least one policy rule, generating a first alert based on the violation, and transmitting the first alert to a designated system.