Zetaris Launches AI Data Harness for Secure Enterprise Data Access

Zetaris, a provider of AI-powered enterprise data management and analytics software, has introduced a cloud-based AI Data Harness designed to connect enterprise AI agents with business data without requiring organizations to consolidate information in a central repository.

The platform builds on Zetaris' data virtualization technology, allowing agents to query information across distributed systems while leaving the underlying data in place.

The approach is intended to reduce the need for separate data pipelines and replicated datasets when organizations develop AI applications. Instead, agents can retrieve information from existing enterprise sources through a common access layer.

Zetaris is positioning the platform around security and governance, with controls designed to regulate how AI agents access organizational information.

For enterprise IT teams, the architecture addresses a growing challenge in agentic AI deployments: providing timely access to business data without creating additional copies that must be secured, synchronized, and governed.

Virtualized access can also help organizations preserve existing data architectures as they introduce AI agents across business functions. Zetaris Cloud delivers this federated architecture as a cloud-based service, so organizations can connect AI models and agents to their existing data environments without being locked into a particular cloud, data platform or AI model.

The announcement reflects a broader shift toward treating data connectivity and authorization as shared infrastructure for enterprise AI, rather than rebuilding integrations for individual agents and applications.

Posted by Pure AI Editors on 10/12/2026