The rise of agentic AI—autonomous, goal-driven artificial intelligence agents—demands a fundamental shift in enterprise network design. Legacy networks built for human-driven productivity struggle to meet the speed, reliability, and security that AI
What if an AI agent could access source-of-truth data about the network?
Learn about context length and its role in AI optimization for network engineers.
Explore the technical aspects of agentic AI as an almost-autonomous AI-powered network assistant.
What’s New in MCP 2025-06-18: Human-in-the-Loop, OAuth, Structured Content, and Evolving API Paradigms The latest release of the Model Context Protocol (MCP) — dated 2025-06-18 — introduces powerful enhancements advancing MCP as the universal protocol
Welcome to the agentic era, a groundbreaking new chapter where humans and intelligent agents join forces to achieve more than ever before.
Cisco is excited to unveil the latest innovations in our next-gen cloud-first platform. It brings together unified network management and multilayered assurance, while powering AgenticOps across any environment—cloud, on-premises, or hybrid.
Cisco’s Deep Network Model is a purpose-built large language model (LLM) designed specifically for network operations, leveraging decades of Cisco expertise to deliver highly accurate troubleshooting, configuration, and automation capabilities. The
At Cisco, we’re building the critical infrastructure for the AI era. And the shift from generative to agentic AI is making our work even more important and timely. We’ll be sharing more at Cisco Live on how we're helping to put our customers at the
