From Innovation to Liability: The AI Data Governance Gap

12 Jun 2025

From Innovation to Liability: The AI Data Governance Gap

Imagine a major corporation launching a cutting-edge AI system that can read and process customer data in seconds. The project is a hit, the praise is pouring in, until a bunch of regulators come knocking. In short, they ask: is the data being used up to compliance and transparency standards? That question leads to billions in fines, a tarnished reputation, and plummeting consumer trust.

This is not a viral marketing story from the movies. In today’s AI era, data management is no longer just a checkbox to comply with regulations. It has become a prerequisite for business growth. Let’s move into a world where artificial intelligence and data governance go hand in hand.



The Age of AI is Changing Everything, Including How We Manage Data


Companies are now vying to incorporate AI into their daily routines. From automated customer service to forecasting market trends, AI seems to offer tremendous efficiency. However, we often forget: these machines are only as good as the data they provide.

This is where a bigger problem arises.

1. Is the data valid?

2. Is it being used in accordance with regulations?

3. Can the company answer and take responsibility for the decisions made by AI?

In fact, many organizations are still stuttering in answering these questions. Legacy data governance frameworks are clearly not designed for the demands of modern AI.


Ordinary Data Governance is Not Enough for AI


Traditional data management usually focuses on data quality, structure, and accessibility. However, AI demands more than that, including:

  • Model transparency and accountability

  • Visibility into data origins and usage

  • Compliance with global data laws such as GDPR, CCPA, as well as PDP Law in Indonesia

  • Avoidance of bias, discrimination and unlawful use of data. 

Without a clear framework, companies can unknowingly fall into the AI enforcement gap, the gap between rapid innovation and ever-changing regulations.



OneTrust Addresses These Challenges with AI-Ready Data Governance


Seeing this need, OneTrust introduces its latest Data Governance solution, which is specifically geared towards AI. This solution is more than just a tool; it serves as the foundation for developing trustworthy, auditable, and regulatory-compliant artificial intelligence.


Here are its key features:

1. Automatic discovery and classification of AI data.

Detect and identify AI data in real time, including data that is sensitive, malicious, or out of policy.

2. Policy Enforcement for AI Models.

Automatically enforce data usage standards, ensuring that AI only accesses legal and ethical data.

3. Complete Data Pedigree

Follow the data flow from the beginning until it reaches the AI model. Ensure complete transparency during audits. 

4. The Trust Layer and Data Contracts

Make data contracts that are readable by both humans and machines so that legal, IT, and AI developers can work together more easily using a common language.

5. Assimilation into Contemporary AI Environments

These solutions, which include Snowflake, Databricks, Azure, and Collibra, can be directly integrated with your existing data infrastructure.


According to OneTrust's Chief Product & Strategy Officer Blake Brannon:

"We aim to bridge the gap between sound data governance procedures and AI innovation. This solution is designed to meet the requirements of the data, AI, privacy, and legal teams.


Don't Wait for an Audit or Fine


If you ask “Does my company need AI-ready Data Governance?” The answer is simple:

If you are already or will be using AI, then the answer is YES.

Delaying the implementation of this framework means letting legal, ethical, and reputational issues develop unchecked. Instead, with OneTrust's methodology, businesses can confidently, transparently, and legally enter the future of AI.


Ready to Start?


The first step is to recognize how your data is currently used by AI. From there, you can create a suitable governance framework. If you want to learn more about how OneTrust solutions may help enhance your data foundation, visit onetrust.com.


Great AI begins with trustworthy data. And trust begins with the proper data governance.


Author: Ghea Devita

Marketing Communication, PT Perkom Indah Murni.



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