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Description

OneTrust Data Use Governance is an AI-ready data governance platform that enables organizations to manage, control, and govern how data is accessed and used across enterprise systems. The solution shifts organizations from manual, data-centric governance processes to policy-centric governance by connecting business policies directly with native controls in data and AI platforms. Instead of relying on lengthy approval workflows, OneTrust automates policy enforcement in real time to support faster, more consistent data access decisions. The platform uses AI-powered classification to analyze both structured and unstructured data while capturing business, regulatory, consent, and data context for machine-readable governance. Organizations can create purpose-based governance policies that are applied consistently from the beginning of data projects through ongoing operations. Machine-readable labels, centralized policy management, and automated enforcement help reduce governance bottlenecks while improving compliance across large-scale environments. The platform also supports auditing of data controls to demonstrate accountability and strengthen governance programs. Integrations with leading technology platforms and service partners allow organizations to extend governance across existing data ecosystems. By automating policy enforcement and enabling responsible data usage, OneTrust Data Use Governance helps enterprises prepare data for AI, analytics, and regulatory compliance.

Description

The development of IT Governance platforms designed for managing Large Computing Systems, particularly those utilizing Mainframe technology, aims to modernize organizational practices and decrease cost structures. The Challenge: The significant ownership expenses associated with Large Computing Systems are a major concern. A multitude of specialized products and countless reports are required for the effective management of the entire spectrum of customers' Large Computing Systems. There is a notable challenge in formulating and supervising the principles of effective IT Governance, as well as a lag in adapting these principles to the rapidly changing technological landscape. Additionally, there is a skills gap regarding Large Computing Systems, leading to a heavy reliance on system integrators and outsourcing services. The Proposed Solution: Implementing real-time mapping of hardware assets along with the collection of service delivery metrics will streamline management processes. A unified platform will be established to oversee both the Large Computing Systems and the delivery of business services. Utilization of Machine Learning technologies will enable the automatic classification of the collected metrics, as well as their correlation with business service delivery and the associated Key Performance Indicators. This integrated approach not only enhances efficiency but also provides organizations with the agility needed to adapt to future technological advancements.