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Cisco Unveils Agent Builder in Cloud Control Studio

 2026/07/12   Cloud Backup & Disaster Recovery Solutions   21 visit(s)  5 min to read

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 By:Ctelecoms

 ctelecoms

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Cisco Unveils Agent Builder in Cloud Control Studio: A New Era of Customizable AI Agents for IT Operations

Announced at Cisco Live, Agent Builder lets teams extend Cisco Cloud Control with custom AI agents tailored to how they actually work.

The Problem: Your Tools Don't Talk to Each Other

Most IT organizations run a complex mix of Cisco and third-party tools. Tickets live in ServiceNow. DNS, DHCP, and IPAM live in Infoblox or BlueCat. Incident management runs through PagerDuty. Documentation is scattered across Confluence and wikis. Each system holds a piece of the operational puzzle—but none of them hold all of it.

Cisco's answer? Agent Builder, a new capability inside Cisco Cloud Control Studio that lets teams build, customize, and govern AI agents that connect across their entire tool stack.

What Is Agent Builder?

Agent Builder is where operational expertise meets AI. It brings together three core capabilities:

Connect third-party products_

Integrate your existing tools directly into agent workflows

Build AI agents _

Describe what an agent should do in natural language, test it, and deploy it

Create reusable skills_

Turn runbooks and SOPs into modular, reusable procedures that any agent can call

Builders can connect tools and knowledge, test agents in a sandbox, and publish them through a versioned lifecycle—no custom code required for native integrations.

Breaking Down Silos: 50+ Ecosystem Integrations

Agent Builder launches with more than 50 planned ecosystem integrations, including:

  • ServiceNow for ticketing
  • Infoblox / BlueCat for IP management
  • PagerDuty for incident management
  • Confluence for documentation

Native integrations come pre-built, validated, and configured through a guided flow. For systems without a native connector, Agent Builder supports Model Context Protocol (MCP), an open standard that lets AI agents securely access any tool with an API. Cisco also plans to let customers and partners build their own MCP connectors in the future.

Once connected, a tool's data and actions become available to every authorized agent—enabling cross-system context, signal correlation, and automated remediation proposals from a single investigation.

Two Modes: Ambient and Live Agents

Not all work happens the same way. Agent Builder supports two agent modes:

Ambient Agents

Operate continuously in the background. They monitor data, watch conditions, and act or alert when thresholds are crossed.

Example: A compliance agent checks device configurations against company policy daily and generates a report. No operator session required.

Live Agents

Join active investigations in real time through Cisco AI Canvas. They pull context, correlate data, and propose next steps as the work unfolds.

Example: During an incident, a live agent enriches alerts with network context, related alerts, ownership info, and recommended remediation steps.

How they work together:

Ambient agents keep the environment monitored 24/7. Live agents step in when complex work needs extra reasoning. Teams get AI that fits the work—whether that's quiet background monitoring or active collaboration during an incident.

Turn Runbooks Into Reusable Skills

One of Agent Builder's most powerful features is skills—modular, reusable procedures that encode operational knowledge.

A skill might be:

  • A DNS troubleshooting procedure
  • A firewall validation step
  • A compliance review checklist

Because skills are reusable, any authorized agent can call them. This transforms institutional knowledge from static documents into active, executable intelligence that shapes how AI agents operate across your environment.

 

Built for Production: Governance, Observability, and Trust

Building an agent is easy. Trusting one in production takes rigor. Cloud Control Studio delivers four critical capabilities:

Capability

What It Does

Governance

Policy enforcement via Cisco AI Defense. Define what each agent can do, when it can act, and what requires human approval. Agents propose; humans approve before production changes.

Observability

Splunk AI Agent Monitoring captures every execution—outcome, duration, trigger, and full traces of LLM calls, tool invocations, and skill executions.

Evaluation

Splunk AI Agent Monitoring (powered by Galileo) scores outputs for accuracy, relevance, and correctness. Flags hallucinations and detects quality drift over time.

Lifecycle

Draft → Sandbox → Publish workflow. Verify behavior against real data before production deployment. Full version control and rollback support.

The result: an agent platform that is auditable, traceable, and trusted.

Bringing Agent Builder to Saudi Arabia: How Ctelecoms Helps Local Businesses

For Saudi Arabian enterprises looking to adopt Cisco Cloud Control Studio and Agent Builder, Ctelecoms stands out as a trusted local partner. As a Cisco Partner with deep expertise in the Saudi market, Ctelecoms helps businesses navigate the full lifecycle of AI-powered IT operations—from initial assessment and architecture design to deployment, integration, and ongoing support.

Whether it's connecting Agent Builder to existing on-premise infrastructure, ensuring compliance with Saudi data governance requirements, or training local IT teams to build and manage custom agents, Ctelecoms provides the hands-on expertise that Saudi organizations need to turn Cisco's latest innovations into real operational outcomes. Their localized support, combined with Cisco's global technology leadership, gives Saudi businesses a clear path to modernizing their IT operations with confidence.

Book your consultation with our experts!






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