Why Rubrik Agent Cloud Could Define Trusted Enterprise AI

The rapidly evolving landscape of enterprise AI is giving rise to a new challenge: balancing innovation with control. As artificial intelligence becomes increasingly autonomous, organizations are struggling to keep pace with the speed and scale of these systems. The introduction of agentic systems, which can act independently across various tools, APIs, and data sources, has created both opportunities and concerns for enterprises. While these systems promise unprecedented automation, they also expose organizations to new forms of data risk and identity complexity.

The Emergence of Agentic Systems

Agentic systems are transitioning from prototypes to production environments at a rapid pace. They are being embedded in workflows, granted access to internal applications, and making decisions that significantly impact business outcomes. However, this autonomy also creates what security researchers refer to as “shadow agents” – systems deployed without adequate IT oversight or governance. Jennifer Glenn, research director for information and data security at IDC, notes that the growth of AI agents represents a fundamental shift in enterprise risk management. The explosion of new identities, including human, non-human, and device identities, introduced by AI agents complicates the maintenance of a unified view of access control and data exposure.

Applying Zero Trust Principles to AI

Rubrik’s introduction of Agent Cloud reflects the industry’s broader effort to apply Zero Trust principles to data protection in the AI era. The platform aims to provide organizations with visibility into how AI agents interact with enterprise data, while enforcing policy-based access controls and compliance monitoring. By integrating with existing AI ecosystems, such as OpenAI and Azure OpenAI Service, Agent Cloud seeks to help customers govern, observe, and secure agentic activity across hybrid environments. The goal is to ensure that progress in AI innovation does not come at the cost of control, as emphasized by Rubrik’s CEO, Bipul Sinha.

Data Hygiene and Identity Foundations

According to Glenn, the root of the issue lies in enterprise data hygiene rather than in any specific tool. Organizations need to understand where their data resides, the type of data they have, who has access to it, and whether it is adequately secured. AI agents are revealing long-standing weaknesses in data management, exposing vulnerabilities and risks that were previously unknown or unprioritized. As companies deploy AI systems that access shared repositories, even minor misconfigurations can have significant consequences. Continuous monitoring and granular authorization are essential to mitigate these risks.

Trust as a Metric for AI Velocity

The introduction of Rubrik Agent Cloud is part of a broader industry trend, where vendors are reframing their capabilities as components of data trust infrastructure for AI. The logic is straightforward: as AI systems increasingly depend on enterprise data, the integrity and provenance of that data become part of the security perimeter. Every technology shift creates tension between innovation and control, but the difference with AI is that agentic systems act autonomously, making decisions faster than humans can oversee them. This reality has elevated “trust” as a new measure of AI readiness, with governance viewed not as a constraint but as a prerequisite for scale.