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AI & AIOps

How to Setup Dynamic Bindings with Itential MCP

Overview Dynamic bindings allow you to expose Itential Platform automation capabilities as MCP tools without writing any code. Simply configure which workflows (endpoints) or Gateway Manager services you want to expose, and the MCP server automatically creates callable tools that AI assistants can use. Why Use Dynamic Bindings? Zero-code tool creation: Define tools through configuration,

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News

Itential & Carahsoft Partner to Bring Hybrid Cloud Network Automation & Orchestration to the Public Sector

ATLANTA & RESTON, VA, November 5, 2025 – Itential, a cloud-native leader in network and infrastructure orchestration, and Carahsoft Technology Corp., The Trusted Government IT Solutions Provider®, today announced a partnership. Under the agreement, Carahsoft will serve as Itential’s Master Government Aggregator®, making the company’s automation and orchestration solutions available to the Public Sector through

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Blog

Ops to Orchestrated: The Automation Playbook for Architects

From the Field to the Framework I didn’t start out as an automation architect. I started as a Marine – building and maintaining communication systems that had to work under pressure. In that world, downtime wasn’t just inconvenient; it could be mission-critical. That experience shaped how I think about networking to this day – precision,

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Itential MCP Server logo representing modern infrastructure automation and lifecycle management.

AI & AIOps

Secure Mediation & Translation: How Itential MCP Enables Controlled AI-Infrastructure Integration

Executive Summary The Itential Model Context Protocol (MCP) Server, combined with the Itential Platform, implements a comprehensive security architecture that ensures AI systems never have direct access to infrastructure. Every AI request flows through a structured mediation layer that validates, translates, and controls execution – providing full traceability while maintaining strict boundaries between AI interfaces

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theCUBE Research report on reimagining infrastructure in the agentic AI era with data, automation, and intelligent systems.

AI & AIOps

Reimagining Infrastructure in the Agentic AI Era

The Shift Is Already Here Every few decades, infrastructure leaders face a turning point. Virtualization. The cloud. Infrastructure as Code. Each wave has forced us to rethink how we design, build, and operate the critical systems our businesses depend on. Today, Agentic AI represents the next great inflection point. And just like the shifts before

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AI & AIOps

Why Being Late to Automation Might Be the Smartest Move You Ever Made

In 2025, being late to automation is no longer a disadvantage - it’s an opportunity. Organizations starting their automation journey today can leapfrog legacy challenges, adopt AI-native orchestration, and build smarter, more compliant systems from day one. The Conversations That Sparked This Thought In recent weeks, I’ve spent time with our sales, marketing, pre-sales, and

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Blog

Practitioner’s Take: When Automation Becomes the Bottleneck

For years, I’ve talked with engineers who are caught in the same cycle: they start automating with good intentions, a few Python scripts here, an Ansible playbook there. It works. It saves time. It even feels empowering. But at some point, that success turns on itself. The scripts multiply. Ownership blurs. Debugging becomes a weekly

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AI & AIOps

From Automation to Autonomy: Building Trust in the Age of Intelligent Networks

A few weeks ago, while in London, I sat down with Ian Smith on the BASELINE Podcast for a candid conversation about AI, automation, and the future of network operations. In Part 1, we explored how automation can unlock human potential – the first step in transforming how enterprises think about efficiency and scale. (🎧

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AI orchestration visual showing how automation systems connect and scale through intelligent workflow management.

AI & AIOps

From Scripts to Systems: Why Orchestration is the Missing Link in AI Adoption

Every enterprise leader I talk to today is thinking about AI. Some are testing models, others are piloting use cases, and nearly all are trying to understand how AI fits into their existing automation strategy. Yet a common theme keeps surfacing – progress feels slower than expected. That’s not because teams lack talent or ambition.

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Page

From Automation to Agentic AI: Lumen’s Journey to Self-Driving Networks

From Automation to Agentic AI Lumen’s Journey to Self-Driving Networks As AI reshapes the fabric of digital infrastructure, network leaders are redefining how scale, reliability, and intelligence coexist. In this session from Selector’s AI Summit for Network Leaders, Greg Freeman, Vice President of Network Customer Transformation at Lumen Technologies, shares the five-year transformation journey that

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