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Cisco AI Canvas
Bring cross-domain telemetry, teams, and agents into one generative workspace. Agents investigate and propose solutions. Operators supervise and approve execution.
Cisco AI Canvas is a generative workspace that unifies cross-domain telemetry from Meraki, Splunk, and Cisco Cloud Control into a single view. AI agents investigate issues and propose remediations while human operators retain full control over execution. Powered by the Cisco Deep Network Model — trained on 40+ years of Cisco expertise — AI Canvas accelerates resolution times, reduces cognitive load, and gives every team a shared, evidence-based workspace.
AI Canvas transforms IT operations by bringing together signals, teams, and agentic AI into a single collaborative workspace that spans every domain in your network.
Launch AI Canvas directly from Meraki, Splunk, or Cisco Cloud Control. No context switching required — open a workspace from the tools your teams already use every day.
AI Canvas unifies signals across your entire stack through Model Context Protocol (MCP). Ask a single question and get correlated insights from networking, security, and observability domains.
AI Canvas proposes the solution; you authorize the action. Agents investigate root causes and recommend fixes while operators retain full control over every change to the network.
AI Canvas gives operators a rich, interactive workspace with dynamic visualizations, pinnable artifacts, and shared links — so every team member works from the same evidence.
Dynamically generates custom charts, tables, and timelines so you can see the full picture in seconds — no manual dashboard building required.
Pin widgets and artifacts to the workspace to preserve critical evidence and build a persistent record of your investigation and resolution process.
Share a single workspace link with NetOps, SecOps, and application teams. Everyone sees the same data, the same evidence, and the same proposed actions.
Model Context Protocol unifies signals from networking, security, and observability tools into a single correlated view across your entire technology stack.
AI agents investigate and correlate cross-domain telemetry in real time, dramatically reducing mean time to resolution and getting services back online faster.
Rapidly rule out your domain as the source of a problem. AI Canvas provides the evidence your team needs to prove innocence and escalate to the right owner.
Empower each operator to handle more incidents with less effort. AI agents do the heavy investigative lifting while humans focus on decision-making and approval.
Stop switching between dozens of tools and dashboards. AI Canvas consolidates evidence, context, and recommended actions into a single, intuitive workspace.
Cisco Deep Network Model
AI Canvas is powered by the Cisco Deep Network Model — a foundation model trained on decades of Cisco networking data, protocols, and operational knowledge. This deep understanding enables AI agents to reason about network behavior, identify root causes with precision, and propose remediations that reflect real-world best practices.
Learn MoreAI Canvas integrates natively with your existing Cisco ecosystem and operational tools. Open a workspace directly from an alert, an incident, or a dashboard — and bring the full power of agentic AI to every investigation.
Integrations
Launch AI Canvas directly from the Meraki dashboard to investigate wireless, switching, and security issues with full cross-domain context and agentic assistance.
Open an AI Canvas workspace from Splunk alerts and investigations. Correlate observability data with network telemetry for faster root cause analysis.
Seamlessly transition from Cisco Cloud Control into AI Canvas to investigate infrastructure issues with unified visibility across your entire Cisco environment.
MCP enables AI Canvas to pull context from any connected tool or data source, creating a unified signal layer that spans networking, security, and observability.
Cisco AI Canvas is a generative workspace for AgenticOps that brings cross-domain telemetry, teams, and AI agents together. Agents investigate issues and propose solutions while human operators supervise and approve all actions before execution.
AI Canvas launches directly from Meraki, Splunk, and Cisco Cloud Control. It uses Model Context Protocol (MCP) to unify signals across networking, security, and observability domains without requiring you to switch tools.
No. AI Canvas follows a human-in-the-loop model. AI agents investigate issues and propose remediations, but every action requires explicit operator approval before execution. You always remain in control.
The Cisco Deep Network Model is a foundation model trained on over 40 years of Cisco networking expertise. It enables AI Canvas agents to understand network behavior, identify root causes, and recommend remediations grounded in real-world operational knowledge.
AI Canvas gives your operators the workspace, the evidence, and the agentic AI they need to resolve issues faster and work smarter across every domain.