Home
News
Tech Grid
Interviews
Anecdotes
Think Stack
Press Releases
Articles
  • Agentic AI

Denodo Advances Trusted Data Foundations for Agentic AI on AWS


Denodo Advances Trusted Data Foundations for Agentic AI on AWS
  • by: GlobeNewswire
  • |
  • May 19, 2026

Denodo, a leader in data management, announced new product integrations to support the building and scaling of agentic AI across hybrid and multi-cloud environments supporting customers across financial services, healthcare and life sciences, manufacturing, retail, public sector and others. As enterprises move beyond AI experimentation to production with a focus on business outcomes, many face common challenges: AI agents fail to deliver reliable outcomes when they lack real-time awareness, operate on incomplete or incorrect data, or act outside governance and compliance boundaries.

Quick Intel

  • Denodo integrates with Amazon SageMaker, Amazon Bedrock AgentCore, and Amazon Quick for agentic AI data access.

  • Supports MCP (Model Context Protocol) for governed data access across 200+ native connections to SAP, Oracle, Salesforce.

  • Provides zero-copy access with consistent semantics across on-premises, multi-cloud, and sovereign environments.

  • Attribute-based access controls, dynamic data masking, and end-to-end lineage capture for non-AWS data sources.

  • Available in AWS Marketplace with free trials, private offers, and PPA eligibility.

  • Denodo delivers up to 4x faster time-to-insight, 345% ROI, and 10x better performance.

New Integrations

Providing AI Agents with Secure, Enterprise-Scale Data Access: Denodo extends agentic AI capabilities by combining live, governed data access with centralized control through Amazon Bedrock AgentCore. Denodo provides a trusted 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 easily accessed via Denodo's support for Model Context Protocol (MCP) in accordance with established governance policies.

Unifying Semantics, Governance, and AI-Ready Data across Hybrid and Multi-Cloud Systems: Denodo integrates with Amazon SageMaker Catalog to directly add business metadata and context to the data consumed by AI agents. Denodo 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.

Accelerating Insight-to-Action: Denodo enhances analytics and AI experiences with Quick by enabling organizations to move seamlessly from insight to action. 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.

Leadership Commentary

“Agentic AI requires more than powerful models. It requires trusted, real-time, and well-governed data,” said Suresh Chandrasekaran, Executive Vice President 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.”

By combining Denodo's logical data management platform with AWS AI and data services, organizations can accelerate the adoption of agentic AI while maintaining trust, governance, and control. This enables enterprises to move beyond experimentation to operationalize AI at scale, driving faster decisions, more intelligent automation, and measurable business impact.

About Denodo

Denodo is a global leader in data management, powering trustworthy AI agents and applications. The Denodo Platform, an award-winning logical data management solution, transforms enterprise data into reliable insights for AI, analytics, and self-service initiatives. Organizations worldwide use Denodo to deliver AI-ready, business-ready data in a fraction of the time compared to traditional data lakehouses, achieving up to 4x faster time-to-insight, 345% ROI, and 10x better performance.

  • Data ManagementAgentic AIAWS
News Disclaimer
  • Share