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Cisco Cloud Control: One Login for Human and AI Agent Operations

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Cisco Cloud Control: One Login for Human and AI Agent Operations

June 12, 2026
At Cisco Live, Cisco launched Cisco Cloud Control, a unified management platform converging networking, security, compute, observability and collaboration onto one single operational plane. It serves as the core foundation of Cisco’s AgenticOps model, enabling human operators and AI agents to share identical data, telemetry and policy contexts while retaining full human oversight.

Built for streamlined single sign-on access, Cloud Control delivers a unified overview of all Cisco infrastructure and services for IT teams. It eliminates fragmented operations across separate consoles by integrating monitoring, management and response workflows into one system. Customers can also build custom applications and AI agents via built-in natural-language tools. The platform natively integrates with mainstream services including AWS, Microsoft, Google Cloud, ServiceNow, PagerDuty, Slack, Linear and Wiz.

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                                                                Cisco Cloud Control screencap

Jeetu Patel, Cisco President and Chief Product Officer, noted that AI agents are reshaping enterprise infrastructure operations. He described Cloud Control as “a command center for agentic AI: a platform where your team and your AI agents work together, in the same environment, with the same information, and with humans in control.” Cisco believes round-the-clock AI agents will transform infrastructure scaling, monitoring and threat defense, but require unified governance. Cloud Control acts as the shared command hub for both manual IT teams and automated AI agents.

One Unified Control Plane Across All Domains


Cloud Control centralizes cross-domain telemetry data from network, security, observability and collaboration systems. Unified data contexts help human and AI responders accelerate troubleshooting and reduce tool and team silos. This end-to-end visibility also optimizes business uptime, regulates AI agent behaviors and cuts token consumption costs.

The platform combines specialized AI models and cutting-edge foundation models, including Cisco’s Deep Network Model trained on 40 years of proprietary networking operational data. Instead of relying on one oversized general large language model, Cisco adopts scenario-specific AI models to boost infrastructure problem-solving accuracy without sacrificing professional domain performance.

Cisco will roll out built-in trusted AI agents on Cloud Control, following a standardized closed-loop workflow: issue detection, root cause analysis, automated remediation, change validation and service recovery confirmation. Powered by telemetry streams, digital twin technology and deep reasoning engines, these agents deliver transparent, auditable automated operations instead of black-box automation.

AI Canvas and Studio for Flexible Customization


Cisco AI Canvas serves as a shared collaborative workspace for joint fault resolution by IT staff and AI agents. It records complete operational logs throughout shift handovers and fault escalations, avoiding repeated troubleshooting work for IT teams.

Cloud Control Studio provides two low-code development tools: Agent Builder and App Builder. Agent Builder helps enterprises build customized AI agents matching internal workflows and policies, supporting over 50 third-party platforms via native connectors and Model Context Protocol. App Builder leverages integrated OpenAI Codex to generate applications and workflows from plain text prompts. All self-built and ecosystem extensions can be published on the built-in Cloud Control Marketplace.

Cisco Cloud Control entered Controlled Availability in the United States on June 2, 2026, with global rollout scheduled for later stages.

Security Upgrade: Shifting to Runtime Threat Protection


Security innovation stands as another core highlight of the launch. As vulnerability exploitation happens far faster than before, traditional passive security defenses can no longer cope with modern cyber threats. As a founding member of Anthropic’s Project Glasswing and OpenAI’s Daybreak, Cisco applies advanced frontier AI models to conduct proactive security stress tests for its own products. It also open-sourced Foundry Security Spec to popularize standardized security evaluation methods across the industry.

Cisco’s expanded Live Protect function provides runtime vulnerability protection without device reboots, system upgrades or maintenance downtime. It is now available for Cisco Nexus 9000 switches and included with Nexus One entitlements. Cisco plans to extend this feature to campus and branch switches, followed by enterprise routers before the end of 2026.

The newly launched Hybrid Mesh Firewall unifies policy enforcement across multi-cloud networks, applications and multi-brand firewall devices. It minimizes security breach impact and maintains consistent protection for distributed hybrid IT infrastructure.

Enhanced Governance Controls for Enterprise AI Agents


Building on previous RSA Conference announcements, Cisco unveiled upgraded security mechanisms for AI agents, covering AI threat defense, agent-focused Zero Trust architecture and Agentic SOC model. Enterprises need dual-layer AI security strategies: defending AI agents from external attacks and restricting agent operating permissions within production environments.

Clearer Quantum-Safe Infrastructure Roadmap


Cisco released an updated quantum resilience roadmap, aiming to equip most core networking products with post-quantum secure communication capabilities by December 2026 to protect sensitive enterprise data transmission.

All newly released campus, branch and data center routers, switches and firewalls will enable quantum-safe secure boot by default, building on existing quantum protection features deployed on campus switches.

Cisco also launched two dedicated planning tools. Quantum Ready Assessments (via Cisco IQ) identifies infrastructure exposed to "harvest now, decrypt later" risks for priority remediation, launching globally in July 2026. The Quantum Resilience Framework divides enterprise quantum defense into two core modules: quantum-safe communication and quantum-hardened hardware products.

Resilience-Focused Cisco Services and Cisco IQ Upgrade


Cisco launched Resilient Infrastructure Services to match its new AI and security operational architecture, covering three phases: risk assessment, infrastructure modernization and defense capability enhancement. It offers enterprises a standardized path to address AI-era cyber risks and upgrade infrastructure step by step.

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                                                                             Cisco IQ image

Integrated natively with Cloud Control, Cisco IQ delivers AI-powered technical support and professional services. It helps enterprises build long-term resilience plans based on AI insights and Zero Trust rules, and supports on-premises deployment for users with strict data residency and sovereignty requirements.

Cisco IQ also adds Peer Benchmarking, which compares enterprise infrastructure security status with anonymized industry peers in aspects such as end-of-support risks and vulnerability exposure. This new feature will be available worldwide in July 2026.


Beijing Qianxing Jietong Technology Co., Ltd.
Sandy Yang/Global Strategy Director
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Email: yangyd@qianxingdata.com
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