Teradata Joins the Agentic AI Foundation to Advance Open Standards for Enterprise Agentic AI
Membership reinforces Teradata's commitment to giving customers the flexibility, interoperability, and neutrally governed infrastructure needed to move agentic AI from pilot to production
Teradata joins a growing cohort of member organizations that spans enterprise technology, financial services, government, academia, robotics and more. The AAIF was established in
Why Open Standards Matter Now
Organizations are no longer asking whether to deploy agentic AI. They are asking how to do it without creating fragmented, ungovernable systems that break under production conditions. Moving from isolated pilots to enterprise-wide deployments across multi-agent and hybrid environments requires shared protocols, consistent governance, and infrastructure that can be deployed, monitored, and managed at scale — across cloud and on-premises alike. The organizations with the least tolerance for getting this wrong, such as those in regulated industries, have the most to gain from standards that are built with their requirements in mind from the start.
Where Teradata's Work and the AAIF Connect
Teradata's community open-source projects, Teradata MCP Server and AI agent framework, Teradata Loom, are already doing the work that AAIF standards are designed to enable — giving AI agents governed, secure access to organization data without bypassing existing identity and permissions frameworks.
Participating in the AAIF means Teradata now has a direct role in how MCP and the emerging agentic components evolve — helping to keep the standards grounded in what large, complex enterprise environments actually require. This is particularly relevant for organizations operating in environments where the governance and security requirements for agentic AI are most stringent and least represented in standards development. Regulated industries are an obvious example, but so are organizations whose requirements are shaped less by regulation than by the operational realities of their industry, such as the data complexity of financial services, the precision requirements of manufacturing, or the mission-critical demands of the public sector. These are environments where generic standards rarely go deep enough.
That same grounding shapes Teradata's approach to the recently launched Autonomous Knowledge Platform, designed for organizations whose agentic workflows require both deep domain expertise and the freedom to move across vendors, tools, and environments without friction. The AAIF is where the standards making that portability possible are being built, and Teradata intends to help build them.
Executive Quote
"Teradata has earned the trust of organizations in the most demanding operating environments, and that experience shapes what we believe open standards need to get right. Open standards are what make it possible for enterprises to bring together the best tools, partners, and innovations without rebuilding their foundation every time something new comes along. Joining the AAIF means we're helping shape those standards from the inside. Our customers get more choice, better interoperability, and the confidence that the infrastructure they build on today will hold at scale tomorrow."
- Sumeet Arora, Chief Product Officer at Teradata
About Teradata
Teradata empowers enterprises to turn intelligence into autonomous action, grounding AI agents in deep business context and trusted data. As AI agents multiply, Teradata is the context foundation, governance layer, and performance backbone that companies need now. The Teradata Autonomous Knowledge Platform puts AI into production across cloud, on-premises, and hybrid environments.
The Teradata logo is a trademark, and Teradata is a registered trademark of Teradata Corporation and/or its affiliates in the U.S. and worldwide.
MEDIA CONTACT
Jennifer Donahue
[email protected]
View original content:https://www.prnewswire.com/news-releases/teradata-joins-the-agentic-ai-foundation-to-advance-open-standards-for-enterprise-agentic-ai-302830402.html
SOURCE Teradata
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