5 Reasons Why Enterprise Leaders Must Prioritize Owning Their AI Platforms in 2025

As artificial intelligence (AI) becomes a core technology across industries, enterprises are looking for ways to mitigate associated risks such as data misuse, breaches and non-compliance. For many, the answer is clear: developing and owning a secure deploy and runtime platform designed for AI workloads. This strategy puts data ownership back in the hands of the enterprise, allowing for greater control and privacy.

What other strategic advantages does owning your own AI platform offer today’s enterprise? Below, you’ll find five reasons to prioritize developing GenAI applications on a private AI platform in 2025.

1. Protect Sensitive, Confidential Data

Data is one of the most valuable assets any enterprise has. Putting control over this asset in the hands of third-party AI applications exposes the enterprise to a myriad of risks including data leaks, breaches and misuse. 

By using a secure, private AI platform, you can ensure that confidential, proprietary information stays within your enterprise. You’ll have the peace of mind that the information remains secure and is only used for its intended purposes. This is especially important for industries subject to regulatory compliance around data ownership such as healthcare, finance and government. 

For example, a healthcare provider that uses patient data to improve outcomes through AI-driven data analytics needs to trust the security of that personal data. When AI workloads are running on a secure platform, the provider can analyze and process this data to harness key insights without risking exposure of sensitive health records to external systems.

2. Meet Transparency and Explainability Requirements

As more and more organizations adopt AI, regulators are requiring greater transparency regarding how these systems make decisions. For example, the European Union’s AI Act requires that all AI systems are safe, transparent and respectful of fundamental rights. In the United States, the Federal Trade Commission (FTC) has taken action against companies using AI in a way that violates consumer rights. 

However, third-party or SaaS-based AI applications may lack the level of security to meet these requirements, which can put your enterprise at risk for non-compliance. This is where owning your own AI platform makes a big difference. You can tailor your platform  to comply with regulatory requirements. That way, you can ensure you meet ethical and legal obligations.

When enterprises own their AI platforms, they gain the ability to create templates tailored to their specific compliance needs. By including observability, you can gain insight into your AI applications.  Applications that meet regulatory standards also build trust with stakeholders by demonstrating fairness and accountability in decision-making.

3. Adapt Swiftly to Regulatory Changes

On the topic of regulations, it’s important to note that this landscape continues to evolve. Enterprises put themselves at risk when waiting on third-party vendors to implement changes. Instead of facing non-compliance and fines, in-house teams have the power to update AI workloads to comply with regulatory changes. This level of control allows for dynamic updates, keeping your enterprise nimble in highly regulated industries.

Owning your AI platform means you can build continuous compliance efforts into your operations. Additionally, it’s essential to proactively monitor emerging regulations so you can stay ahead and reduce potential legal risks.

4. Mitigate Third-Party Risks

Being dependent on external applications can expose enterprises to the risk of vendor compliance and breaches in their system. These risks are outside the control of the enterprise. However, their impact can be significant in terms of fines, reputational damage or operational downtime. Owning your AI platform gives you control over your operations and data integrity. You can avoid the impact of third-party interruptions by keeping things under your control. Developing your own in-house applications requires a secure, extensible platform to deploy and run those apps.

5. Innovate With Customized Solutions

 Every organization has its own unique challenges, opportunities and expectations to consider. With an in-house AI platform, you can build a tailored platform that directly meets your business objectives and custom use cases. This approach leads to better alignment with strategic goals while maximizing efficiency and providing a better user experience. 

Customized solutions allow for faster innovation, which provides a significant competitive advantage. They help businesses adapt quickly and differentiate themselves in the market with unique, customer-centric offerings.

Secure Tomorrow by Owning Your AI

Owning your AI platform provides a consistent foundation for secure growth while mitigating risk and fostering innovation. If you’re looking for more insights into how to safely incorporate AI into your enterprise, download our white paper to discover how to harness AI safely and securely.