CloudBolt Software, a recognized leader in hybrid cloud management and Kubernetes optimization, is introducing the latest release of the company’s cloud management platform, CloudBolt CMP—offering 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
According to the company, with this release, CloudBolt is strengthening three areas that increasingly define modern hybrid cloud management:
- AI-ready operations through MCP support and governed agent interaction
- Operational control at scale through fine-grained RBAC and contextual user experiences
- Infrastructure freedom through expanded support for VMware alternatives, public cloud, private cloud, and emerging neocloud platforms
Together, the updates reinforce CloudBolt CMP’s role as the leading control plane for hybrid cloud operations at a moment when many enterprises are rethinking their VMware dependency, modernizing internal service delivery, and looking for safe ways to bring AI into infrastructure workflows, the company said.
“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, said the vendor.
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, the company said.
CloudBolt CMP now gives organizations more precise control, allowing teams to expose specific actions to specific users without granting unnecessary administrative access.
The result is a more contextual and secure operating model: the right people see the right actions at the right time, with the right guardrails around them, said CloudBolt.
CloudBolt has also extended its custom forms and presentation capabilities beyond initial provisioning into day-two operations.
This matters because enterprise cloud management does not end when a resource is created. Day-Two actions include resizing, modifying, updating, restarting, remediating, approving, decommissioning, and enforcing policy over time.
“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.”
The new capabilities are available now as part of the latest version of CloudBolt CMP.
For more information about this news, visit www.cloudbolt.io.