Cisco announced new AgenticOps innovations for the AI era. 

First launched last year, AgenticOps is an agent-first IT operating model for autonomous action with built-in oversight. New capabilities unveiled today across networking, security, and observability further transform how IT teams operate at scale.  

Cisco’s AgenticOps provides the foundation to absorb operational complexity and operate effectively at scale.

“For teams responsible for operating and securing distributed networks and infrastructure, AgenticOps represents a profound and fundamental shift away from complexity,” said Jeetu Patel, President and Chief Product Officer, Cisco. “This is the true power of Cisco as a platform. By delivering agentic capabilities aligned to critical IT operations priorities, we’re combining Cisco’s unique cross‑domain visibility, purpose-built models, and governance together to supercharge teams.”

Last year, Cisco introduced AgenticOps and redefined how AI is applied in networking to manage the growing complexity of modern IT operations. Powered by advanced AI and unified network data, including the Deep Network Model, solutions like Agentic Workflows and AI Canvas help IT teams troubleshoot faster and automate securely. Now, Cisco is extending agentic-driven operations across networking, security, and observability, delivering AgenticOps to support IT operations in cloud, on‑premises, air‑gapped industrial, enterprise, data center, and service provider environments.  

Cisco’s AgenticOps is informed by system‑wide awareness drawn from one of the industry’s richest sources of cross‑domain telemetry across Cisco Networking, Security Cloud Control, Cisco Nexus One, Splunk, and more. By ingesting live signals from owned and unowned networks, security controls, applications, and collaboration platforms, including Cisco ThousandEyes, Secure Firewall, and Splunk Observability, AgenticOps delivers context‑aware, agentic execution at real‑world operational scale. The result is trusted, closed‑loop execution that shifts day‑to‑day operations from humans to machines, while keeping teams firmly in control of outcomes.

New tools, skills, and platform enhancements include:

• Autonomous Troubleshooting: End-to-end agentic investigations across campus, branch, and industrial networks triage connectivity and experience issues, cutting MTTR to minutes. Applies reasoning from telemetry to root cause, validating multiple hypotheses simultaneously and executing deterministic remediations with CCIE-grade precision.
• Continuous Optimization: Context-aware agentic recommendations to prevent performance degradation before users feel it. Continuously maintains user experience by autonomously tuning RF, QoS, path, and control planes with a live understanding of end-to-end network conditions.
• Trusted Validation: Risk-aware agentic assessments validate network changes against live topology, configuration, and telemetry, including identifying impact and blast radius. Leverages deep reasoning to perform complex tasks such as compliance validation.
• Experience Metrics: Transforms thousands of network signals into a single view focused on clear, actionable metrics for user experience, such as Time to Connect, Capacity, and Roaming.
• Agentic Workflow Creation: Create production-ready, deterministic automations within Cisco AI Assistant for custom, repeatable, and verifiable workflows based on environment conditions.
• Agentic capabilities for Campus, Branch, and Industrial will start rolling out February 2026.
• Data Center: Early detection and intelligent event correlation with AgenticOps for data center networks enables the delivery of prescriptive recommendations to optimize performance. By providing actionable insights across traditional and AI workloads, the solution drives proactive operations and significantly improves business outcomes. This capability enhances the observability and unified operations of Cisco Nexus One. Controlled availability in June 2026.
• Service Provider: Accelerating the journey to autonomous networking, agentic capabilities in Crosswork AI identify, diagnose, and resolve complex, multi‑vendor issues in service provider networks with greater speed, accuracy, and confidence. Now in beta.
• Tracking the performance, cost, quality, and behavior of LLM and agentic applications, AI Agent Monitoring in Splunk Observability Cloud visualizes agent workflows and will soon integrate with Cisco AI Defense to mitigate risks that inhibit trust in AI models, such as bias, hallucinations, data leakage, and prompt injection. Generally available February 25.