Denodo announced new product integrations with Amazon Web Services (AWS) designed to support the building and scaling of agentic AI across hybrid and multi-cloud environments on May 19, 2026. The integrations address a fundamental challenge enterprises face as they move beyond AI experimentation to production: agentic AI data reliability depends on real-time awareness, complete accuracy, and strict governance compliance.
The company integrated with Amazon SageMaker, Amazon Bedrock AgentCore, and Amazon Quick to extend access into operational and analytical data across on-premises, SaaS, and multi-cloud environments. Denodo’s logical data foundation delivers live, business-contextual, and governed data, enabling agentic AI agents to operate with confidence and accuracy across distributed systems.
Secure Data Access for AI Agents
Denodo extends agentic AI capabilities by combining live, governed data access with centralized control through Amazon Bedrock AgentCore. The solution defines what data is available across the enterprise and enriches it with business context in Denodo’s semantic layer. Support for Model Context Protocol (MCP) ensures data can be easily accessed in accordance with established governance policies.
Amazon Bedrock AgentCore manages how AI agents interact with data by handling authentication, routing requests, and enforcing access controls. This integration enables organizations to provide AI agents with secure, consistent, and real-time access to the right data across distributed environments while operating within business rules.
Unified Semantics and Governance Across Hybrid Systems
The integration with Amazon SageMaker provides organizations with live, zero-copy access with consistent semantics across all their data. This capability spans on-premises, multi-cloud, and sovereign environments via 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 data consumed by agentic AI agents.
By leveraging 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 platform provides fine-grained governance controls over non-AWS data sources, including attribute-based access controls, dynamic data masking, and end-to-end lineage capture, which operate alongside native Amazon SageMaker controls for AWS data.
Accelerating Analytics and Workflow Automation
Denodo enhances analytics and AI experiences with Amazon 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 without delays from data movement.
The integration empowers users to create AI-driven workflows, conversational experiences, and automated processes that operate on trusted data. Organizations can rapidly develop and validate new AI-driven use cases, significantly reducing time-to-market for autonomous workflows while improving decision speed and business responsiveness.
Enterprise AI Adoption and Market Availability
Suresh Chandrasekaran, Executive Vice President at Denodo, stated: “Agentic AI requires more than powerful models. It requires trusted, real-time, and well-governed data. 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. Denodo is available in the AWS Marketplace, offering customers free trials, private offers, and options to apply Denodo purchases toward AWS Private Pricing Agreements.
