Cloudera launches zero-copy ServiceNow connector for hybrid AI
Cloudera has unveiled a Workflow Data Fabric Zero Copy Connector for ServiceNow, announced at ServiceNow's Knowledge26 conference on 5 May. The integration allows enterprises to query data held in hybrid lakehouses directly from ServiceNow's AI platform without replicating or moving that data — what Cloudera terms eliminating the "data movement tax."
The company says the connector is positioned as the first integration of its kind to deliver hybrid-native, zero-copy AI governance alongside ServiceNow's agentic workflow engine. Cloudera cited its own survey data, claiming that nearly eight in ten organisations report that incomplete data access is hampering their AI initiatives — a figure the release does not attribute to an independent research house.
What the connector does
In practical terms, the integration means a ServiceNow AI agent can trigger a query, run a remediation workflow, or generate an audit trace against enterprise data — structured or otherwise — without that data leaving its governed storage tier. Sensitive data categories explicitly mentioned include PII, PHI, and PCI records, all of which carry regulatory handling requirements that data duplication would complicate.
Leo Brunnick, Chief Product Officer at Cloudera, said: "Enterprises cannot scale autonomous AI without being able to prove why decisions are made. Without this traceability, organisations cannot safely deploy AI agents or meet regulatory demands."
Pramod Mahadevan, VP of Data and Analytics Product Ecosystem at ServiceNow, framed the integration as extending the two companies' existing partnership — ServiceNow joined Cloudera's partner AI ecosystem in 2025 — and described the connector as enabling "closed-loop remediation" that helps organisations resolve operational issues with greater speed and confidence.
Market and regulatory context
The zero-copy or "data-in-place" architecture is gaining traction across the enterprise data stack as organisations push back against the cost and latency of ETL pipelines and the compliance complexity of duplicating regulated data across environments. Competitors in the broader data fabric and integration space include Informatica, Databricks' Unity Catalog, and IBM's Data Product Hub, each taking different approaches to federation, virtualisation, and governance. Microsoft Fabric's OneLake shortcut mechanism addresses a similar use case within the Azure ecosystem.
Regulatory pressure is a meaningful tailwind here. The EU AI Act's transparency and traceability obligations — particularly those governing high-risk AI systems — create a direct commercial argument for architectures that maintain a clear lineage between an AI decision and its source data. DORA, which applies to financial-services firms operating in the EU, similarly mandates data integrity and auditability. Cloudera's release explicitly references both frameworks, alongside HIPAA, suggesting the connector is being positioned for regulated-industry buyers in financial services and healthcare.
Cloudera's claim to be "first to market" with this specific combination of hybrid-native zero-copy governance and ServiceNow integration is unverifiable from the release alone; the editor may wish to seek independent confirmation. The company will be running two sessions at Knowledge26 on 5 and 7 May, and has made a white paper available for download.
The near-term signal to watch is customer adoption: the release names no production deployments, committed contract values, or performance benchmarks. For enterprise buyers evaluating agentic AI infrastructure, concrete latency and throughput figures for the zero-copy query path would be the next meaningful data point.