What Native AI Agents Mean for Enterprise Platforms
Native AI agents in enterprise software are AI-driven components built directly into core platforms so they can observe systems, reason over data, and autonomously complete workflows across infrastructure, security, and applications without relying on external tools or complex custom integration layers. This shift turns traditional management consoles into workflow automation platforms that coordinate agents, policies, and human approvals in one place. Instead of stitching together separate AI services, enterprises can use agent-aware features embedded in the products they already run. Cisco Cloud Control, Rubrik AI, and the expanded 10ZiG–Liquidware FlexApp integration all signal the same direction: AI agents become part of the stack, not an add-on. That change lowers integration overhead, improves observability, and lays the groundwork for safer autonomous operations across networks, data protection, and virtual desktops.
Cisco Cloud Control: An Operations Hub for Agentic AI
Cisco Cloud Control is positioned as a unified hub where AI agents and human teams share one operating model across networking, security, AI infrastructure, observability, and collaboration tools. At Cisco Live 2026, DJ Sampath described Cloud Control as “the secure harness for the agentic era,” highlighting the need to observe, coordinate, and secure agents as they take on more operational tasks. The platform is designed to bring Cisco domains and third-party tools into a single environment with one login and one view. In practice, that means AI agents can help automate network operations, support workforce management, and surface insights from observability data without switching between consoles. Early customers such as Room & Board are already using Cloud Control, hinting at a near-term future where agent-driven workflows become a normal part of day-to-day operations teams.
Rubrik AI: Agentic Cyber Resilience at Machine Speed
Rubrik AI turns Rubrik’s cyber resilience platform into what the company calls an agentic-first experience, where customers define outcomes and an AI agent executes across data and security workflows. “Today, Rubrik becomes an agent,” said Bipul Sinha, CEO, chairman and co-founder, describing how the platform now reasons and acts autonomously to counter both external AI-driven attacks and risks from internal agents. Rubrik AI includes an Agentic Mode that operates across Rubrik Security Cloud and Rubrik AI Cloud, reasoning over data, identity, and customer-deployed agents. Agentic Guardrails add auditable, attributable, and reversible controls so every autonomous action can be reviewed, which is essential for safe autonomous operations. Orchestrated workflows compress multi-step recovery sequences that once took weeks into minutes, turning Rubrik into both a workflow automation platform and an AI agents enterprise software foundation for data protection.
10ZiG and Liquidware: Intelligent Application Delivery for VDI and Cloud
While 10ZiG and Liquidware have not branded their integration as an AI agent, the deeper link between 10ZiG OS and Liquidware FlexApp points toward more intelligent, policy-driven application delivery across VDI, DaaS, and cloud-hosted desktops. FlexApp decouples applications from the base operating system so they can be attached dynamically instead of baked into golden images. The expanded partnership uses 10ZiG thin and zero clients plus its management platform to reduce image sprawl and simplify updates. Instead of maintaining many desktop images for different user groups, IT can attach the right applications on demand, cutting management overhead and speeding change cycles. This kind of dynamic control layer is a natural anchor point for future native AI integration, where agents could decide when and how to attach apps based on user context, security posture, and performance signals across mixed endpoint environments.
Toward Autonomous Operations Across the Stack
Taken together, Cisco Cloud Control, Rubrik AI, and the 10ZiG–Liquidware FlexApp stack show how native AI agents are spreading from isolated pilots into core platforms. For networking and workforce operations, Cloud Control offers a single place to observe and secure agents. For data resilience, Rubrik AI brings agentic automation, guardrails, and orchestrated workflows that move recovery toward machine-speed autonomous operations. For end-user computing, FlexApp’s dynamic attachment combined with 10ZiG endpoints reduces image sprawl and positions application delivery for AI-driven decisions. The common thread is a move away from brittle third-party integrations toward platforms where AI agents, policies, and human workflows live side by side. As these systems mature, enterprises will expect their workflow automation platforms to come with built-in, controllable agents rather than bolt-on AI services.
