Cisco is introducing AgenticOps, a new approach that uses AI-driven agents to handle networking, security, and observability tasks in real-time. With tools like the Deep Network Model and AI Canvas, companies can automate complicated workflows to solve problems more quickly and move IT teams from routine maintenance to more strategic, proactive roles.
Here Are the Main Parts of Cisco’s AgenticOps Strategy
- Intelligent automation: AgenticOps goes beyond traditional AI assistants by using autonomous agents that work with network security and application data to deliver complete automated solutions.
- Security for AI: new AI defense solutions, such as AI BOM and model context protocol catalogs, help prevent agent manipulation and keep the AI supply chain secure.
- AI-aware infrastructure: The new Silicon-1 G-300 switch is designed to improve GPU array performance for Agentic tasks, boosting data center efficiency.
- Unified visibility: AgenticOps brings together information from Cisco, ThousandEyes, Secure Firewall, and Splunk, giving a completely new view throughout different IT systems.
This change helps sync organizations manage the increasing complexity of contemporary IT without adding risk, while ensuring people remain in control of AI-powered results.
The latest AgenticOps features for networking, security, and observability offer new ways to automate, scale, and simplify IT operations in today’s AI-driven world.
Cisco has introduced new AgenticOps features created for the AI era. AgenticOps, launched last year, is an IT Operating Model that puts agents at the center, enabling autonomous action under oversight. The latest updates in networking, security, and observability help IT teams work more efficiently at scale.
Security environments are becoming more distributed and complex, putting extra pressure on already busy teams. To address these problems, organizations need a new way to operate, one that leverages smart automation while maintaining reliability, accuracy, and strong governance. AgenticOps is designed for this, helping teams manage complexity and work effectively at scale.
For teams that manage and secure dispersed networks and infrastructure, AgenticOps is a major step toward making things simpler, said Jeetu Patel, President and Chief Product Officer at Cisco. This shows the real strength of Cisco as a platform. By offering Agentic features that match key IT needs, we bring together Cisco’s broad visibility, expert models, and strong governance to help teams do more.
Last year, Cisco launched AgenticOps and changed how AI is used in networking to handle the increasing complexity of IT operations with advanced AI and unified network data, including the deep network model. Tools like Agentic Workflows and AI Canvas help IT teams solve problems faster and automate safely. Now, Cisco is expanding Agentic-driven operations to cover networking, security, and observability, supporting IT operations across Cloud, On-site, Industrial, Enterprise, Data Center, and Service Provider Settings.
Cisco’s AgenticOps uses broad system awareness drawing from a wide range of data sources like Cisco Networking, Security Cloud Control, Cisco Nexus One, Splunk, and others by collecting live data from both internal and external networks, security tools, apps, and joint platforms such as Cisco Thousand Eyes, SecureWire Firewall, and Splunk Observability. AgentOps enables smart context-aware automation at scale. This approach lets machines handle daily operations while teams retain control of the results.
Source:Cisco Expands AgenticOps Innovations Across Portfolio
