Cisco has introduced Cloud Control, a new platform designed for human teams and AI agents to manage, monitor, and defend critical infrastructure from a single environment. The company announced this proposal at Cisco Live US 2026 in Las Vegas, as the foundation of its AgenticOps model—a way of IT operation where agents do not just recommend actions but help detect issues, analyze causes, suggest changes, test them, and confirm whether the service has been restored.
The announcement clearly illustrates the direction in which the networking, security, and observability markets are heading. Enterprise infrastructure can no longer be managed solely through separate dashboards, manual tickets, and slow human reviews. Cisco proposes a common control plane where networks, security, compute, collaboration, and observability share operational data so that teams and agents work within the same context and under visible governance rules.
A unified layer for humans and agents
Cisco Cloud Control is born as a unified platform with a single session, a common view, and a secure environment for operating critical assets. Its goal is to consolidate information that today is typically spread across networking, security, observability, collaboration tools, and third-party services. Cisco cites integrations with AWS, Microsoft, Google Cloud, ServiceNow, PagerDuty, Slack, Linear, and others, as well as support for native connectors and the open standard Model Context Protocol (MCP).
The aim is not just to simplify interfaces. Cisco wants AI agents to operate on a shared data layer with a “common action system.” In other words, telemetry signals should not just generate isolated alerts but should activate diagnostic, correction, and validation workflows. The company emphasizes that humans will still maintain control throughout.
Jeetu Patel, Cisco’s President and Chief Product Officer, described Cloud Control as a command center for agentic AI. This aligns with the company’s strategy: transforming its extensive experience in networks and security into an operational intelligence layer that can move at software speed.
One of the most interesting elements is Cisco AI Canvas, a generative collaboration workspace where operators and agents investigate incidents based on real-time evidence. Cisco promises that context will persist between shifts, escalations, and teams—crucial for complex operations where time is lost repeating diagnostics or reconstructing what happened before an issue progressed to the next level.
Also introduced is Cloud Control Studio, offering two customization environments. Agent Builder will enable creation of agents tailored to internal policies and processes, while App Builder will allow development of applications and workflows through natural language. Cisco states that OpenAI Codex will be integrated into this environment to assist in developing and deploying AI-powered software. Generated applications and agents can be published on the Cloud Control Marketplace alongside solutions from Cisco and its partner network.
The platform is currently available in controlled rollout in the United States, with global availability expected later. Cisco notes that some features may still be in development phases and will be released as the product roadmap progresses.
Security at machine speed
The other major component of the announcement concerns cybersecurity. Cisco starts from a clear premise: the window between a vulnerability’s disclosure and its exploitation has shrunk from weeks to minutes. In such a scenario, waiting for traditional updates, maintenance windows, or reboots can be too slow for critical infrastructures.
Cisco’s response involves expanding Live Protect, a technology the company describes as a digital immune system for its products. It safeguards compatible platforms against newly discovered and prioritized vulnerabilities in real-time, without reboots, full upgrades, or planned downtime. Live Protect is already available on N9000 switches and included with the Nexus One license, with plans to expand to more portfolio products, starting with intelligent campus and branch switches, and later secure routers.
Additionally, Cisco has strengthened its messaging around agent security. AI agents are starting to execute tasks alongside human staff, interact with internal systems, and make decisions within workflows. This necessitates protecting these agents from malicious inputs but also safeguarding the organization from erroneous, excessive, or unauthorized actions by these same agents.
Cisco links this approach with AI Defense, Zero Trust for agents, and Agentic SOC. The company also highlights its founding membership in Anthropic’s Project Glasswing and OpenAI’s Daybreak projects—initiatives aimed at testing frontier AI models and identifying vulnerabilities before attackers do. Furthermore, Cisco mentions Foundry Security Spec, an open standard to apply similar rigor to AI-driven security assessments.
The corporate message is clear, rooted in a genuine concern: security operations are overwhelmed by alerts, tools, and limited time. If attackers leverage AI models to accelerate discovery, exploitation, and automation, defenders must reduce the signal-to-response time. The challenge will be balancing speed with control, as poorly governed agentic defenses could introduce new risks.
Cisco IQ, post-quantum resilience, and preparedness
Cisco also introduced new capabilities for Cisco IQ—its AI-augmented support and professional services platform. Integrated with Cloud Control, it aims to help customers build long-term resilience against future threats. New features include Resilient Infrastructure Services, a three-step approach: exposure assessment, infrastructure modernization, and defensive resilience.
The company also added options for on-premise deployment of Cisco IQ, catering to clients with data sovereignty requirements. This is particularly relevant for government agencies, banking, energy, defense, and regulated industries—where not all organizations want to send sensitive telemetry to external cloud services.
Another significant focus is preparedness for post-quantum cryptography. Cisco warns about “harvest now, decrypt later” attacks—where adversaries collect encrypted data today hoping to decrypt it in the future with quantum computing. To counter this, Cisco announces progress toward quantum-safe communications in its main portfolio and commits to enabling post-quantum communication capabilities in most of its core products by December 2026.
Moving forward, Cisco states that new series of routers, switches, and campus, branch, and data center firewalls will come with secure quantum-safe boot. Quantum Ready Assessments, available via Cisco IQ, will help identify assets most vulnerable to such threats and guide mitigation efforts. These assessments are expected to be globally available by July 2026.
Cisco’s strategy interweaves multiple previously separate threads: network operations, AI agents, real-time security, sovereignty, observability, and post-quantum readiness. This integrated approach makes sense in a market where companies seek greater automation without sacrificing control over their critical infrastructure, customer data, and public services.
The real question is whether Cisco can turn this vision into a straightforward operational experience. Combining data, tools, and agents into a single platform sounds promising but requires deep integration, strong governance, granular permissions, transparency, and the ability to work seamlessly across hybrid environments that include Cisco products, third-party tools, and legacy systems.
Cisco Cloud Control points toward a future of critical infrastructure management: reduced isolated dashboards, shared context, and agents capable of action under human supervision. The promise is compelling. Execution will determine if AgenticOps becomes a new standard for network and security operations or just another layer in an already tool-saturated sector.
FAQs
What is Cisco Cloud Control?
Cisco Cloud Control is a unified platform for managing, monitoring, and defending critical infrastructure, with human teams and AI agents operating within the same context.
What does AgenticOps mean?
It is Cisco’s operational model based on AI agents that help detect incidents, analyze causes, execute actions, test changes, and validate service recovery under human supervision.
What does Live Protect offer?
Live Protect safeguards compatible Cisco products against prioritized vulnerabilities in real-time, without reboots, full upgrades, or maintenance windows.
Why is Cisco talking about post-quantum cryptography?
Because “harvest now, decrypt later” attacks can collect encrypted data today to decrypt in the future using quantum capabilities. Cisco aims to identify exposed assets and prepare quantum-safe communications and products.
via: newsroom.cisco