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CloudBolt Software, a recognized leader in hybrid cloud management and Kubernetes optimization, today announced the latest release of the company's cloud management platform, CloudBolt CMP. This version offers substantial innovations and further advances the platform's ability to help enterprises govern, orchestrate, and optimize hybrid cloud environments as infrastructure strategies become more AI-assisted and less dependent on any single virtualization stack.
CloudBolt CMP adds MCP support for AI-assisted cloud operations with governed agent interaction through natural language.
Fine-grained RBAC allows exposing specific actions to specific users without granting unnecessary administrative access.
Custom day-two actions extended beyond initial provisioning to resizing, modifying, updating, and decommissioning.
Expanded VMware alternatives include OpenShift Virtualization, Oracle Linux Virtualization Manager, Windows Hyper-V, OCI, and Azure Local.
Planned support for SUSE Virtualization, XCP-ng, and neoclouds including CoreWeave, Nebius, and Vultr.
Platform reinforces role as control plane for hybrid cloud at moment of VMware dependency reassessment.
“Enterprise infrastructure teams are under pressure to move faster, support more environments, and introduce AI without creating a new governance problem,” said Yasmin Rajabi, Chief Operating Officer at CloudBolt. “This release is about providing more control. Customers can begin connecting AI-assisted workflows to CMP through MCP, while still preserving the permissions, guardrails, and operational accountability required in complex enterprise environments.”
With MCP support, CloudBolt CMP can now participate in emerging AI-assisted operations workflows by allowing approved agents or conversational interfaces to interact with the platform through a standardized protocol. This provides a foundation for users to ask questions, initiate workflows, and eventually execute governed cloud actions through natural-language experiences. For instance, a user can interact with CMP through an AI agent/chat interface and ask it to perform governed cloud-management actions like “provision this for me,” “run this day-two operation,” or “show me the actions available to my role” with CMP enforcing the same guardrails, permissions, auditability, and execution logic a senior engineer would have used manually.
This is not “AI replacing CMP.” AI is using CMP as the governed action layer. The agent becomes the interface; CMP remains the system of control. MCP interactions are tied back to the same user context, permissions, and operational model already established inside CMP, helping organizations avoid the security, cost, and accountability risks that can arise when AI agents are introduced without proper governance.
The new release also strengthens CMP's ability to tailor access and experiences by role, persona, and operational responsibility. Cloud operations teams often depend on highly skilled engineers to perform routine tasks simply because those engineers are the only people with the right permissions. CloudBolt CMP now gives organizations more precise control, allowing teams to expose specific actions to specific users without granting unnecessary administrative access.
CloudBolt has also extended its custom forms and presentation capabilities beyond initial provisioning into day-two operations. Day-Two actions include resizing, modifying, updating, restarting, remediating, approving, decommissioning, and enforcing policy over time. By giving customers more control over how day-two actions are presented and executed, CloudBolt CMP allows organizations to turn expert workflows into repeatable, governed actions.
The release also reflects growing enterprise demand for infrastructure choice. As organizations reassess VMware strategies following Broadcom's acquisition, many are evaluating alternative virtualization platforms. CloudBolt has responded by expanding and enhancing resource handler support over the past 12 months across OpenShift Virtualization, Oracle Linux Virtualization Manager, Windows Hyper-V, Oracle Cloud Infrastructure, and Azure Local.
CloudBolt also announced plans to add support for additional resource handlers in upcoming releases, including SUSE Virtualization, XCP-ng, and neocloud environments such as CoreWeave, Nebius, and Vultr.
“Enterprises want optionality, not another forced ecosystem,” said Shawn Petty, CloudBolt's Chief Customer Officer. “They want to test alternatives and modernize without losing control. CloudBolt CMP gives them a way to govern and orchestrate across heterogeneous environments instead of being locked into one provider's operating model.”
CloudBolt Software helps enterprises turn cloud complexity into operational advantage by bringing intelligent automation, governance, and optimization to public, private, hybrid, and multi-cloud environments. Its portfolio combines industry-leading cloud management and orchestration with AI-driven Kubernetes rightsizing and optimization, enabling organizations to actively control and optimize cloud usage as it happens. CloudBolt empowers platform engineering, IT operations, and finance teams with the insight and automation they need to run cloud environments at scale—efficiently, continuously, and with confidence.
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