Cisco Cloud Control
by Cisco
One console where humans and AI agents run and defend the whole Cisco estate
Cisco Cloud Control is a unified operations platform that puts networking, security, compute, observability and collaboration behind one login, one inventory and one live topology, then lets human operators and AI agents work the same telemetry together. It is aimed at infrastructure and network operations leaders whose teams currently pivot between a dozen Cisco management consoles to resolve a single cross-domain incident.
Cisco Cloud Control, unveiled at Cisco Live on June 2, 2026, is the foundation of Cisco's AgenticOps operating model: a single platform where people and AI agents manage, monitor and defend infrastructure from shared data rather than from separate consoles. It consolidates Cisco networking, security, compute, observability and collaboration into one login with a unified inventory and real-time topology, and cross-domain telemetry flows into a common layer built on Cisco Data Fabric, which uses Splunk technology, so humans and agents act on the same information. AI Canvas is the multiplayer workspace where operators and agents investigate a live incident side by side against shared evidence, governed by organisational policy with auditability at each step. Cloud Control Studio, arriving later in 2026, adds Agent Builder for custom agents connecting to 50+ third-party platforms and a low-code App Builder that generates applications from natural-language prompts using OpenAI Codex, with a Cloud Control Marketplace for distribution. Trusted Agents follow a structured loop — detect the issue, identify cause, apply a fix, test it, confirm recovery — and Cisco backs them with its Deep Network Model, trained on decades of operational data, plus digital twins for safe experimentation. The security side pulls in Live Protect eBPF-based vulnerability shielding and Hybrid Mesh Firewall; Cisco IQ adds AI-enabled operational insight. Third-party integrations announced include AWS, Google Cloud, Microsoft, ServiceNow, Slack, PagerDuty, Linear and Wiz. Cloud Control entered controlled availability in the United States on June 2, 2026, with broader global rollout following through July 2026, and Cisco states that Cloud Control and AI Canvas are included with existing Cisco product subscriptions at no additional cost.
The infrastructure or network operations leader at a Cisco-standardised enterprise who is paying, in analyst hours, for years of fragmented Cisco management consoles.
Cross-domain incidents get investigated in one workspace on one telemetry layer, by humans and agents together, without the console-hopping that makes root cause slow.
At a Glance
- Category
- Infrastructure & Cloud
- Pricing
- Subscription, Usage-based
- Target Market
- CIOs, CTOs, Network Operations Leaders, CISOs, Enterprise Architects
- Deployment
- Cloud-first, Hybrid
- Founded
- 1984
- Headquarters
- San Jose, California, United States
- Team Size
- 500+
Key Features
- ✓Unified operations console
One login, one inventory and real-time topology across Cisco networking, security, compute, observability and collaboration, replacing years of separate management interfaces.
- ✓AI Canvas
A multiplayer workspace where operators and AI agents investigate and resolve cross-domain incidents together on shared live telemetry, with policy governance and step-level auditability.
- ✓Cloud Control Studio
Agent Builder creates custom agents against 50+ third-party platforms and App Builder generates apps from natural-language prompts using OpenAI Codex.
- ✓Trusted Agents
Agents follow a structured loop of detect, diagnose, fix, test and confirm recovery rather than firing one-shot actions with no verification.
- ✓Deep Network Model and digital twins
Purpose-built models trained on decades of Cisco operational data, plus digital twins so risky changes can be rehearsed before production.
- ✓Cisco Data Fabric telemetry layer
Cross-domain log and telemetry platform built on Splunk technology gives humans and agents one shared source of operational truth.
- ✓Integrated infrastructure defence
Live Protect eBPF-based runtime shielding against new vulnerabilities and Hybrid Mesh Firewall extend policy enforcement across networks and applications.
Capabilities
Use Cases
- •Cross-domain incident resolution
An outage spanning network, security and application layers is investigated in AI Canvas from shared evidence instead of across four separate Cisco consoles.
- •Custom agent development for a mixed toolchain
Agent Builder wires agents into ServiceNow, PagerDuty, Slack and Wiz so operational workflows reach beyond the Cisco estate.
- •Safe change validation
Digital twins let an operations team rehearse a configuration change and observe its effect before applying it to production infrastructure.
- •Runtime vulnerability mitigation
Live Protect shields infrastructure devices against newly disclosed vulnerabilities while a permanent patch is scheduled and rolled out.
- •Governed rollout of operational AI
Policy controls and per-step audit trails let a risk-averse enterprise start agents in supervised mode before widening autonomy.
Ideal For
Best For
- ✓Enterprises heavily standardised on Cisco networking, security and observability that want one console instead of many
- ✓Cross-domain incident investigation where root cause spans network, security and application telemetry
- ✓Building custom operational agents against 50+ third-party platforms via Agent Builder in Cloud Control Studio
- ✓Teams introducing agentic automation but requiring policy governance, audit trails and human approval at each step
- ✓Testing risky network changes safely using digital twins before they touch production
Not Ideal For
- ✗Multi-vendor or non-Cisco estates — the platform's value comes from unifying Cisco's own portfolio, and software rivals actively pitch multi-vendor neutrality against exactly this
- ✗Teams wanting fully autonomous network remediation today; analysts note networks are still treated as pets rather than cattle, so trust in agent-initiated change remains the limiting factor
- ✗Buyers who need firm total-cost numbers now, since token packs and cross-vendor data-egress charges are the parts Cisco has not clarified
- ✗Organisations outside the initial rollout regions or unwilling to run on capabilities still in controlled availability or beta
Integrations
Deployment
Market Analysis
Pros
- ✓Addresses Cisco's genuine historical weakness — fragmentation across management interfaces — with what one analyst called the most coherent platform argument Cisco has made in years
- ✓No incremental licence cost for existing Cisco customers at the Essential and Advantage tiers, which removes the usual barrier to trying a new platform
- ✓Shared telemetry layer via Cisco Data Fabric means agents and humans reason from the same data instead of reconciling separate tools
- ✓Governance is built in — organisational policy enforcement and step-level auditability — rather than retrofitted after an agent misbehaves
Cons
- ✗Much of it is not fully shipped: the platform entered controlled availability in June 2026, Cloud Control Studio arrives later in 2026 and Network Actions is in beta, so evaluations are partly against a roadmap
- ✗Analysts flag tier creep — the included Essentials tier may not be sufficient once agent usage scales, moving buyers to paid tiers and token packs
- ✗Pricing for sharing data across agents from different vendors is unclear, and data egress is exactly where multi-vendor agentic costs bite
- ✗Trust remains the practical brake: networks are still managed as pets rather than cattle, so autonomous agent decisions carry more risk here than in compute, even with confidence scores and digital twins
- ✗Cisco enters a crowded field against Microsoft, Google, AWS, Dell, IBM/Red Hat, Arista and HPE, several of whom pitch multi-vendor neutrality against a Cisco-centric platform
- ✗Naming is a real hazard: 'Cisco Cloud Control' is distinct from the pre-existing 'Cisco Security Cloud Control' firewall management product, and pricing collateral for the two is easy to confuse
Pricing
Included with Cisco product subscriptions
$0
- ✓Cloud Control unified console
- ✓AI Canvas
- ✓Available in Essential and Advantage tiers at no additional cost
Higher tiers and token packs
Contact for pricing
- ✓Premium tier capabilities
- ✓À la carte agent token packs
- ✓Cloud Control Studio (later in 2026)
Cisco states Cloud Control and AI Canvas are included with existing Cisco product subscriptions in the Essential and Advantage tiers at no additional cost, which makes the entry price effectively zero for current Cisco customers. Reporting describes three tiers — Essentials, Advantage and Premium — plus à la carte token packs for agent usage, so the real variable is consumption, not licences. Two costs are not yet clarified: analysts warn the Essentials tier may prove insufficient once usage scales, and pricing for sharing data across agents from different vendors, effectively data egress, is unresolved. Get both in writing.
Security & Compliance
Connect
Sources
This page was written from 6 sources, 5 on domains other than cisco.com.
- 1.newsroom.cisco.com — cisco unveils agentic platform for operating and defending c
- 2.techtarget.com — Cisco Cloud Control unites AgenticOps for IT infrastructure
- 3.securityinfowatch.com — cisco pushes agenticops vision with new ai driven cloud cont
- 4.presidio.com — cisco live 2026 the agentic era has arrived
- 5.hpcwire.com — cisco unveils agentic platform for operating and defending c
- 6.cisco.com — indexvendor
Stay Ahead of the Curve
Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.
SubscribeRelated Products
Vector Core Compute
Disaggregated enterprise inference cloud running CPUs, GPUs and RDUs in one pipeline
DeepInfra
Purpose-built inference cloud serving 200+ open-source AI models on OpenAI-compatible APIs
Infinity Ignition
AI research agent that writes and optimizes inference kernels to make any AI chip production-ready in days
Alibaba Cloud Agent Native Cloud
Agent-native cloud suite for building, running, governing and observing enterprise AI agents at scale