Balance AI Innovation With Security and Data Governance
Artificial intelligence is creating new opportunities for businesses. Organizations are using AI to build applications, automate processes, improve productivity, and create new services. However, scaling AI development across multiple teams can also introduce new challenges.
As AI projects grow, businesses need to think carefully about security, compliance, data governance, and access controls. Developers need the freedom to move quickly, but organizations also need safeguards that protect sensitive information and meet internal requirements.
The EY Global Services customer story provides a real-world example of how an organization addressed these challenges. EY Global Services used the Microsoft Purview SDK to help meet internal security requirements while enabling teams to continue developing AI solutions at a faster pace.
Support Faster AI Development
AI development often involves multiple teams working on different projects. Developers need access to the data and tools required to build, test, and improve their applications.
At the same time, unrestricted access can create unnecessary risks. Sensitive information may be exposed if data is not properly managed or protected.
EY Global Services found a way to address both sides of the challenge. By using Microsoft Purview SDK, the organization could support rapid AI development while maintaining important security and governance controls.
This approach shows that businesses do not necessarily have to choose between innovation and control.
Protect Data as AI Projects Grow
Data is at the center of many AI applications. The quality and availability of data can have a major impact on what an AI solution can accomplish.
However, not every piece of business data should be available to every application or development team. Organizations need to understand what data they have, where it is stored, and how it is being used.
Data governance can help businesses establish clear rules around data access and usage. These controls become even more important as organizations expand their use of AI.
Microsoft Purview can help organizations manage and govern data while supporting broader security and compliance goals.
Meet Internal Security Requirements
Security requirements can become more difficult to manage as AI development expands. Different teams may work with different applications, data sources, and development environments.
Organizations need consistent policies that can be applied across these environments.
The EY Global Services customer story shows how Microsoft Purview SDK can help integrate governance and security considerations into AI development. This allows teams to build and innovate while still working within established organizational requirements.
A security-focused approach can also help businesses create greater confidence in their AI programs.
Find the Right Balance Between Innovation and Control
AI development moves quickly. Businesses want developers to experiment, test new ideas, and bring useful solutions to production without unnecessary delays.
However, speed cannot come at the expense of security.
A strong AI development strategy creates a balance between the two. Developers receive the tools and access they need, while security and compliance teams maintain appropriate oversight.
This balance can help organizations scale AI more responsibly. It can also make it easier to establish repeatable processes for future AI projects.
Build a Stronger AI Development Pipeline
As organizations move from individual AI experiments to larger development programs, governance becomes increasingly important.
Businesses need to think about how AI applications access data, how sensitive information is protected, and how security policies are applied throughout the development process.
Building these considerations into the development pipeline can help reduce risks later. It also gives development teams a clearer framework for creating and deploying AI solutions.
The approach used by EY Global Services provides an example of how organizations can incorporate security and governance into AI development without slowing innovation.
Learn From the EY Global Services Customer Story
The featured customer story provides a closer look at how EY Global Services used Microsoft Purview SDK to meet internal security requirements while supporting rapid AI development across teams.
It highlights an important lesson for businesses adopting AI: innovation and control can work together.
Read the customer story to learn how EY Global Services balances AI development with security and data governance.
If your organization is looking for ways to scale AI while maintaining strong security and compliance, contact Tech Hero. Our team can help you explore Microsoft solutions and identify an approach that supports your development pipeline, data governance requirements, and long-term AI strategy.
