Denodo unveils new AWS integrations

Data management specialists Denodo has announced integrations with Amazon Web Services to help scale agentic AI across hybrid and multicloud environments. 

Denodo integrates with AWS data and AI services - including Amazon SageMaker, Amazon Bedrock AgentCore, and Amazon Quick - to extend access into operational and analytical data residing in on-premises, SaaS, and multi-cloud environments. 

Denodo extends agentic AI capabilities by combining live, governed data access with centralised control through Amazon Bedrock AgentCore.

Denodo provides a data foundation by defining what data is available across the enterprise, enriching it with business context in Denodo’s semantic layer and ensuring it can be accessed, via Denodo’s support for MCP in accordance with established governance policies.

Amazon Bedrock AgentCore also manages how AI agents interact with that data by handling authentication, routing requests and enforcing access controls. This integration aims to enable organisations to provide AI agents with secure, consistent, and real-time access to the right data across distributed environments, so they operate within business rules while delivering reliable, high-quality business outcomes at scale.

Denodo complements Amazon SageMaker by providing organisations with live, zero-copy access, with consistent semantics, across all their data. This capability spans on-premises, multi-cloud, and sovereign environments via over 200 native connections to enterprise systems such as SAP, Oracle, and Salesforce.

Denodo now integrates with Amazon SageMaker Catalog to directly add business metadata and context to the data consumed by AI agents. By leveraging the definitions, classifications, and governance context established within Amazon SageMaker, Denodo ensures that data accessed across both AWS services and non-AWS environments is consistently understood and aligned with business meaning.

The company said this gives AI agents the semantic context they need to interpret data correctly, with integration patterns validated and documented by Denodo. Denodo also provides fine-grained governance controls over non-AWS data sources, with capabilities such as attribute-based access controls, dynamic data masking, and end-to-end lineage capture, which operate alongside native Amazon SageMaker controls for AWS data. 

By combining Quick with Denodo’s live, zero-copy access to enterprise data, business users can work with the most current, complete information across distributed environments. The integration with Quick intends to empower users to create AI-driven workflows, conversational experiences, and automated processes that operate on trusted data without the delays of data movement.

“Agentic AI requires more than powerful models. It requires trusted, real-time, and well-governed data,” said Richard Jones, vice president and general manager for Asia Pacific and Japan at Denodo.

“Our collaboration with AWS focuses on delivering a unified data foundation that enables organizations to scale AI agents with confidence across the entire data landscape.”