Cisco unveils new AgenticOps innovations to simplify and scale AI-driven IT operations

New AgenticOps capabilities in networking, security, and observability reimagine how to automate, scale, and simplify IT operations in the AI era.

Cisco has 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.

“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.

New tools, skills, and platform enhancements across networking, security, and observability include operating networks at AI scale with intelligent execution across campus, branch, industrial, data center, and service provider environments.

In campus, branch, and industrial networks, autonomous troubleshooting enables end-to-end agentic investigations that triage connectivity and experience issues, cutting MTTR to minutes. Continuous optimization delivers context-aware agentic recommendations to prevent performance degradation before users feel it. Trusted validation provides risk-aware agentic assessments that validate network changes against live topology, configuration, and telemetry, including identifying impact and blast radius. Experience metrics transform 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 allows teams to build production-ready, deterministic automations within Cisco AI Assistant.

In the data center, early detection and intelligent event correlation with AgenticOps for data center networks enable the delivery of prescriptive recommendations to optimize performance. For service providers, agentic capabilities in Crosswork AI accelerate the journey to autonomous networking by identifying, diagnosing, and resolving complex, multi-vendor issues with greater speed, accuracy, and confidence.

Within Cisco Security Cloud Control, new enhancements turbocharge firewall operations. Proactive analysis of firewall traffic enables agentic policy capabilities to identify and recommend more robust zero trust controls for sensitive applications. AgenticOps troubleshooting and optimization capabilities detect issues such as elephant flows impacting firewall performance, improving operational efficiency. Continuous compliance features continuously evaluate firewall configurations to automatically identify PCI-DSS deviations and recommend remediations to maintain compliance.

Across observability, AI Agent Monitoring in Splunk Observability Cloud provides visibility and control across agentic applications by tracking performance, cost, quality, and behavior of LLM and agentic workflows, and visualizing agent processes end to end.