Cloudera announced at Knowledge26, ServiceNow’s annual event, a new connector designed to integrate distributed enterprise data with intelligent workflows without the need to copy or move information. The integration, called Workflow Data Fabric Zero Copy Connector for ServiceNow, aims to facilitate the use of AI agents in hybrid environments while maintaining data traceability, security, and governance.
The announcement comes at a time when many companies are trying to move AI from internal pilots to real business processes. According to Cloudera, a common obstacle is that data is scattered across public clouds, on-premises data centers, legacy systems, and departmental platforms, complicating access and control.
A connector to query data where it already resides
Cloudera’s approach is based on a “zero copy” paradigm, enabling ServiceNow to query and utilize information stored in hybrid lakehouses without duplicating it elsewhere. This can reduce storage costs, avoid data movement pipelines, and limit risks associated with transferring sensitive information between systems.
The company talks about eliminating what it calls the “data movement tax”—the technical, economic, and operational costs of continuously moving data to feed applications, analytics, or AI models. In organizations with large volumes of data, this burden can lead to increased infrastructure, greater complexity, and more points of exposure.
The new connector is designed for environments where governance is a prerequisite, not an afterthought. Cloudera emphasizes that companies will be able to keep sensitive data, including PII, PHI, or PCI, within protected hybrid environments while connecting them to ServiceNow workflows. References to regulations like the European AI Act, DORA, or HIPAA make it clear that the target clients are organizations with strict regulatory requirements in sectors such as finance, healthcare, telecommunications, industry, or government.
Autonomous AI with traceability
A key message of the announcement is the need to demonstrate why an automated action has been taken. As AI agents are deployed, traceability becomes an essential requirement. It’s no longer enough for a system to perform a task; companies need to know the data that triggered it, the logic applied, and the rules under which the decision was made.
Leo Brunnick, Cloudera’s Product Director, summarized this concern by stating that organizations cannot scale autonomous AI without being able to prove why decisions are made. This requirement directly impacts security, data, and AI leaders, who bear much of the risk when agents move from testing to production environments.
The integration with ServiceNow aims to connect Cloudera-governed data with enterprise workflows capable of acting on incidents, processes, alerts, or operational tasks. ServiceNow describes this as a way to enhance its AI platform with higher-quality data and enable closed-loop remediation processes, where detection, analysis, and resolution are linked within the same flow.
A partnership enhancing enterprise automation
The collaboration between the two companies is not starting from zero. ServiceNow joined Cloudera’s AI partner ecosystem in 2025, and the new connector extends that relationship into a more operational scenario. The goal is that each AI-driven action can be linked to its data source without moving sensitive information outside the controlled environment.
For companies, the value of such integration lies not only in accelerating AI projects but also in reducing platform fragmentation. Many organizations already have curated, processed, and governed data in their analytics architectures, but those data are not always connected with the tools used for daily work.
Here, ServiceNow plays a crucial role, as its platform is used to coordinate business processes, IT operations, internal support, security workflows, and automation across departments. If these workflows can access reliable data without copying it, companies can gain speed without sacrificing control.
This release points to a broader market trend: enterprise AI will depend as much on robust data architecture as on the models themselves. Autonomous agents may be appealing in demonstrations, but real-world adoption will require clear permissions, auditing, data protection, system integration, and the ability to explain each decision.
Cloudera aims to position itself in this trust layer, especially among organizations operating in hybrid environments that cannot migrate all data to a single cloud or platform. The challenge will be demonstrating that the zero-copy approach can reduce complexity without limiting performance or automation capabilities expected by ServiceNow customers.
Frequently Asked Questions
What did Cloudera announce for ServiceNow?
Cloudera announced the Workflow Data Fabric Zero Copy Connector for ServiceNow, an integration to connect data from hybrid lakehouses with intelligent workflows without duplicating or relocating information.
What does zero copy mean in this context?
It means that data can be queried and used where it currently resides, avoiding unnecessary copies, additional storage costs, and risks associated with moving sensitive information.
Why is this important for enterprise AI?
Because AI agents need access to reliable, governed, and traceable data to act on real business processes without compromising security, compliance, or operational control.