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IT Chaos Solved? Cisco's AI-Powered AgenticOps
11 Feb
Summary
- AI agents introduce complexity and data silos in traditional IT.
- AgenticOps enables real-time human-AI collaboration for efficiency.
- Cisco's approach unifies data, prioritizes collaboration, and uses specialized AI.

Enterprise IT operations are strained by fragmentation and data silos, a challenge exacerbated by the increasing proliferation of AI agents. Cisco's Senior Vice President of AI Software and Platform, DJ Sampath, introduced AgenticOps, a new operational model designed to address these issues by fostering real-time collaboration between humans and AI. This strategy aims to enhance efficiency, bolster security, and enable innovation in technological applications.
AgenticOps is built on three core principles: unified data access across silos, a collaborative multiplayer-first design, and the use of purpose-built AI models. Cisco's AI Canvas provides a unified workspace, replacing multiple dashboards with a generative UI. It leverages Cisco's Deep Network Model, trained on extensive operational data, to provide domain-specific intelligence. The platform spans campus, branch, cloud, and edge environments, with acquisitions like Splunk aiding in data unification. Cisco's Duo platform is evolving to manage identity and access for these agents, ensuring secure data interaction.




