Denodo adds AWS links for agentic AI & data governance

Denodo has introduced new integrations with Amazon Web Services for agentic AI, covering Amazon SageMaker, Amazon Bedrock AgentCore and Amazon Quick.

The additions are intended to help businesses give AI agents access to live, governed data across on-premises, software-as-a-service and multi-cloud systems. They address a common problem in enterprise AI projects, where agents produce weak results because they rely on incomplete, outdated or poorly controlled information.

The new integrations extend Denodo's data management platform into AWS data and AI services used by organisations in sectors including financial services, healthcare and life sciences, manufacturing, retail and the public sector. The emphasis is on connecting operational and analytical data spread across several environments rather than a single cloud platform.

One part of the launch centres on Amazon Bedrock AgentCore. In this integration, Denodo's platform defines what data is available across an organisation, adds business context through its semantic layer and makes that data accessible through support for Model Context Protocol. Bedrock AgentCore handles authentication, request routing and access controls.

The approach is designed to let AI agents work with secure, current data while staying within business rules and governance policies. That is especially relevant for companies moving AI systems from pilots into production, where oversight and traceability often matter as much as model performance.

Data context

A separate integration covers Amazon SageMaker and Amazon SageMaker Catalog. Denodo can provide live access to data across on-premises, sovereign and multi-cloud environments through more than 200 native connections to systems such as SAP, Oracle and Salesforce.

Through the SageMaker Catalog integration, it can add business metadata and context directly to the data consumed by AI agents. The arrangement is also intended to keep definitions, classifications and governance context aligned across AWS services and data sources outside AWS, reducing the risk of agents misinterpreting information from different systems.

Denodo also offers governance controls for non-AWS data sources, including attribute-based access controls, dynamic data masking and end-to-end lineage capture. These are intended to work alongside Amazon SageMaker controls for data already held in AWS.

Insight to action

The third integration involves Amazon Quick. It is aimed at linking analytics more closely to operational processes by letting users work with current enterprise data without first moving it into another repository.

The Quick integration supports AI-driven workflows, conversational systems and automated processes operating on what Denodo describes as trusted data. The goal is to shorten the time between identifying an insight and acting on it while avoiding delays associated with copying data between systems.

The announcement reflects a broader shift in enterprise AI spending. Many organisations have spent the past two years testing large language models and assistant tools, but production deployments have exposed a more basic issue: the quality, timeliness and governance of the data those systems rely on. In regulated sectors in particular, concerns around access controls, auditability and business context can slow adoption even when the model performs well.

Denodo's position in that market is based on logical data management, in which data remains in its original systems and is accessed through a unifying layer rather than being physically consolidated. Supporters argue this can reduce duplication and make it easier to apply common governance rules across fragmented data estates, though its effectiveness can depend on the underlying source systems and network performance.

Richard Jones, Vice President and General Manager for Asia Pacific and Japan at Denodo, commented on the rationale for the launch.

"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," Jones said.

Denodo's software is also available through AWS Marketplace, where customers can access purchasing options including free trials and private offers, and may be able to apply purchases towards AWS Private Pricing Agreements.