AI adoption is accelerating fast. What started as experimentation is quickly becoming embedded into core business operations, customer experiences and decision making across industries.

At the same time, organizations are asking harder questions about governance, transparency, security and control. Where does the data live? Who controls the models? How are decisions made? What safeguards are in place?

At EDB, we believe these questions matter just as much as the technology itself. That’s why we recently updated our Principles for Responsible AI, first launched in 2024.

The updated principles reflect how we think organizations should approach AI in a world where trust, governance and sovereignty are becoming business critical. They also align closely with EDB’s broader approach to building technology that is secure, sovereign and open.

The refreshed framework is centered around four core principles: Sovereign, Governed, Trusted and Beneficial.

Sovereign means organizations should maintain control over their data, infrastructure and AI systems. As AI adoption grows, businesses are increasingly looking for flexibility in how and where they deploy AI, especially in highly regulated industries and environments where privacy, security and compliance requirements are constantly evolving. We believe organizations should be able to build AI on their own terms, without unnecessary lock-in or loss of control.

Governed reflects the idea that AI governance cannot exist only in policies or presentations. Governance needs to extend into the systems themselves through accountability, oversight, transparency and clear operational controls. Organizations need visibility into how AI systems are deployed, monitored and managed in practice.

Trusted focuses on building AI systems that organizations and users can rely on. Trust is earned through transparency, consistency, security and responsible oversight. As AI systems become more deeply embedded into business operations, maintaining that trust becomes increasingly important.

Beneficial reinforces the importance of responsible innovation. AI should create meaningful value while minimizing harm and helping organizations balance performance, efficiency, cost and long-term impact.

These principles help guide how we approach AI internally at EDB, how we work with customers and partners and how we think about the future of enterprise AI more broadly.

The technology will continue evolving quickly. Governance and accountability will need to evolve alongside it.

But we believe one thing is becoming increasingly clear. Organizations want AI systems they can understand, govern and control.

You can find EDB’s new Principles for Responsible AI in the EDB Trust Center.