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Inside Cisco’s Makeover: Targeting AI With Deeper Stack Integration

Cisco has gotten serious about embracing agentic infrastructure operations to provide better ease-of-use and integration of its products.

Forbes 2 min read 6/10 San Jose
Inside Cisco’s Makeover: Targeting AI With Deeper Stack Integration
Key Takeaways
  • Cisco's agentic infrastructure approach uses AI-driven software agents to automate network configuration, bandwidth allocation, and traffic routing for AI workloads.
  • The strategy integrates Cisco's networking hardware (Catalyst, Meraki) with its Splunk observability platform, combining telemetry from security, IT operations, and networks.
  • Cisco's Silicon One processors, deployed in high-speed switches, underpin the hardware layer for AI data centers, competing with Broadcom's Tomahawk and NVIDIA's Spectrum-X.
  • Early adopters include major financial services firms using the platform to manage inference clusters, reducing manual incident response time by up to 70% according to Cisco.
  • The company faces competition from Arista Networks' AI CAMPUS and Juniper's Mist AI, but Cisco's installed base of 85% of Fortune 500 companies gives it a unique cross-sell opportunity.
Cisco is overhauling its product portfolio with a sharp focus on agentic infrastructure operations, aiming to unify networking, security, and observability into a seamless AI-powered fabric. The company's deeper stack integration represents a strategic pivot to capture the exploding demand for AI-ready data center and enterprise networks.

Cisco has gotten serious about embracing agentic infrastructure operations to provide better ease-of-use and integration of its products. The San Jose-based networking giant is betting that enterprises overwhelmed by managing AI workloads will pay a premium for a unified platform that automates network tuning, threat detection, and performance optimization.

The move comes as Cisco faces intense competition from Arista, Juniper, and cloud-native alternatives. The company's traditional switching and routing business has matured, but the AI boom offers a new growth vector. Cisco's customer base—tens of thousands of large enterprises—already relies on its gear; now Cisco wants to sell them an intelligent layer that monitors and manages the entire stack.

At the core of this strategy is Cisco's 'agentic infrastructure' concept: software agents that independently adjust network configurations, allocate bandwidth to AI training jobs, and reroute traffic to avoid latency. This builds on Cisco's existing AIOps capabilities, but the agentic twist means less human intervention. Cisco has also deepened integration with its Splunk acquisition, combining network telemetry with security and IT operations data.

Executives have highlighted early wins with large financial services and technology firms that are deploying AI inference at scale. Cisco's Silicon One processors, designed for high-speed AI data centers, are a key hardware enabler. The company is also embedding AI into its Meraki and Catalyst lines, allowing smaller businesses to benefit from proactive network management.

Industry analysts note that Cisco's move reflects a broader shift from manual network administration to autonomous operations. 'The vendor that can deliver a truly integrated, self-healing network will own the next decade,' one industry observer said. However, Cisco must prove that its agents work reliably across diverse environments and do not introduce new security risks.

Looking ahead, Cisco plans to roll out additional agentic modules for cloud networking and branch offices. The company will also compete in the emerging AI networking market that includes startups like NVIDIA's networking unit and Arista's AI CAMPUS. Cisco's legacy install base and channel partners give it a distribution advantage, but execution on integration will determine if this makeover translates into sustained market share gains.

Frequently Asked Questions

Cisco's agentic infrastructure uses AI-powered software agents to automatically manage network configurations, bandwidth, and traffic routing for AI workloads, reducing the need for human intervention.

Cisco embeds AI into its Catalyst and Meraki switches, and its Splunk observability platform, creating a unified stack that uses telemetry to optimize performance and security.

Benefits include automated network tuning, faster incident response, improved resource allocation for AI training, and a single pane of glass for managing network, security, and IT operations.

Cisco competes with Arista Networks (AI CAMPUS), Juniper Networks (Mist AI), and NVIDIA (Spectrum-X), as well as cloud-native alternatives.

Splunk provides log and metrics data that Cisco's AI agents analyze to detect anomalies, correlate events across layers, and automate remediation, strengthening the observability component.

Original source

www.forbes.com

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