Denodo strengthens data reliability for agentic AI through new integrations with Amazon Web Services (AWS)
Data virtualization platform provider Denodo has announced new product integrations with Amazon Web Services designed to enhance data reliability for enterprise AI agents. The integrations aim to unify data semantics, extend controlled data access, and accelerate the adoption of AI agents in hybrid and multicloud environments. The announcement comes as organizations increasingly deploy AI agents that require reliable, governed access to data across distributed infrastructure. Denodo's data virtualization technology creates an abstraction layer that allows AI systems to access data from multiple sources without moving or copying it, while maintaining security and governance controls. The AWS integrations specifically target enterprise environments where data is spread across on-premises systems and multiple cloud providers. By focusing on semantic unification and controlled access, the integration addresses key challenges in AI agent deployment, including data consistency, security, and the complexity of managing data across hybrid cloud architectures. The solution is positioned to help enterprises scale their AI initiatives while maintaining data governance requirements.
Why It Matters
This integration addresses a critical bottleneck in enterprise AI deployment: ensuring AI agents can reliably access high-quality data across complex, distributed infrastructure. As organizations move beyond simple AI implementations to autonomous agents that make decisions and take actions, data reliability and governance become paramount. The focus on hybrid and multicloud environments reflects the reality that most enterprises operate across multiple platforms, making data virtualization increasingly important for AI success.
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