Cisco has introduced Cloud Control, a management platform designed to unify the operations of human teams and AI agents within enterprise infrastructure. Announced during Cisco Live, this initiative marks a shift in how organizations can handle networking, security, observability, and collaboration within a single operational framework.
Command Center for Agentic AI
At the core of Cloud Control is the concept of a command center for agentic AI. Cisco President and Chief Product Officer Jeetu Patel highlighted that this platform enables teams and AI agents to collaborate effectively, sharing the same data and context while maintaining human oversight. The aim is to create an operational environment where agents can boost productivity without replacing human decision-making.
Patel discussed the significant potential of continuously operating agents, asserting that their integration will transform how environments are scaled, monitored, and secured. The platform promotes the idea that if both operators and agents can access the same telemetry and insights, they can address challenges more efficiently and reduce fragmentation across various tools and teams.
Cross-Domain Telemetry
Cisco’s strategy is built on integrating cross-domain telemetry, which combines insights from multiple operational areas such as networking and security. The company claims that this unified visibility is essential for ensuring uptime, optimizing AI agent performance, and managing costs related to token usage. By providing a consolidated view of operations, Cloud Control aims to enable quicker responses to issues that may arise across different domains.
AI Models and Trusted Agents
To enhance the capabilities of Cloud Control, Cisco has utilized a variety of specialized AI models, including its proprietary Deep Network Model, which draws on 40 years of operational data. This approach differs from relying on a single large general-purpose model, instead focusing on delivering system intelligence that scales according to the complexity of problems rather than the size of the model.
A notable feature of the platform is the introduction of trusted agents that follow a structured workflow for resolving issues. These agents are designed to identify problems, determine their causes, recommend solutions, and verify service quality after changes are implemented. This iterative process aims to create a form of closed-loop automation that remains transparent and governed.
Collaborative Workspaces and Customization Tools
Cisco also unveiled AI Canvas, a collaborative workspace that allows operators and AI agents to work together in real-time to troubleshoot and resolve issues. This feature is designed to keep operational history intact, ensuring that teams do not have to retrace their steps during handoffs or escalations.
For customization, Cloud Control Studio offers two development environments: Agent Builder and App Builder. Agent Builder allows users to create agents tailored to specific workflows, while App Builder enables the development of applications from natural-language prompts, integrating OpenAI Codex for user-friendly development. The resulting applications and agents can be shared through a Cloud Control Marketplace, enhancing the ecosystem surrounding Cisco's new platform.
Looking Ahead
As Cisco rolls out Cloud Control, the implications for enterprise operations are significant. The platform not only integrates human and AI efforts but also serves as a crucial tool for addressing the complex demands of digital infrastructure. The ability to build customized agents and applications within this environment may establish a new standard for operational efficiency and collaboration, positioning Cisco as a key player in the evolving field of AI-driven enterprise solutions.
With the increasing reliance on AI in operational contexts, Cisco's Cloud Control could redefine how organizations manage and oversee their systems. By promoting a collaborative environment where human intelligence and artificial agents work together, Cisco is not just responding to current trends but actively shaping the future of enterprise infrastructure.
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