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Cisco Networking Cloud Adds New Security and AI Capabilities

Cisco introduced new capabilities and technologies across its networking portfolio that are designed to drive a more unified and integrated approach to managing and securing customer networks.

“As a market leader in both networking and security, and with visibility into over 1 billion endpoints, Cisco is in a unique position to build the industry’s premier AI-driven, secure and simple networking management platform, Cisco Networking Cloud,” said Jonathan Davidson, EVP and GM, Cisco Networking. “Whether it’s autonomous operations or simply delivering a trouble-free experience to an end user, endpoint and network data is key to AI-driven intelligence. The best data produces the best result, and Cisco has the best data.”

To address the needs of their users, Cisco is introducing new Cisco Networking Cloud innovations:

- New Integrations with Cisco Secure Access: Highlighting Cisco’s commitment to provide customers with the tools to bring networking and security teams closer together, Cisco is introducing deeper integrations between Cisco Networking and Security Cloud platforms. These innovations with Cisco Secure Access, Cisco’s Secure Services Edge (SSE) solution, deliver a unified approach to networking and security management, and automated monitoring of the digital experience, providing insights from network, device and application performance metrics. These integrations are available today with Catalyst SD-WAN and ThousandEyes.

- Enhanced security posture reporting for OT assets: Industrial organizations can now utilize the Security Posture report for comprehensive details on OT asset inventories, top vulnerabilities and highest cyber risks to help reduce the attack surface. These features are available with Cisco Cyber Vision and available as part of our hardened industrial-grade routers, switches, and firewalls.

To demonstrate how Cisco is continuing to converge its management platforms and work towards a unified portfolio experience, Cisco is introducing:

- Cloud Monitoring for Catalyst Wireless: First introduced as a capability for Catalyst switching, customers can now view select Catalyst wireless devices in the Meraki dashboard. This new capability gives Cisco customers a complete, cloud-managed view of their access networks. Cloud Monitoring for Catalyst Wireless supports the Catalyst 9800 Wireless Controllers and most Catalyst Wi-Fi 5 Wave 2, Wi-Fi 6 and Wi-Fi 6E access points.

- Catalyst 9300-M Cloud-Managed Switch Models: Cisco is continuing its journey to a single, unified hardware architecture with the new Catalyst 9300-M switches which will be managed natively from the Meraki dashboard. This is the first step in the evolution towards full cloud management for the Catalyst switching portfolio.

Cisco is also unveiling new technologies to help customers accelerate the adoption of AI by providing the right infrastructure for the right use cases.

- Cisco UCS X-Series Direct: An extension of Cisco’s industry-leading and award winning UCS X-Series Modular System, the new Cisco X-Series Direct is built for environments where customers need connectivity and compute power at the edge to support more applications with less infrastructure

- Cisco AI Validated Designs: Cisco is expanding its offering of converged and hyperconverged validated designs addressing new use cases, leveraging recently announced Cisco Validated Solutions and AI/ML blueprint for data center networks. These designs can accelerate AI/ML deployments and minimize risks by helping customers build high performance compute and data center network fabrics with automation and visibility tailored for a variety of AI-driven enterprise use cases.

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Cisco Networking Cloud Adds New Security and AI Capabilities

Cisco introduced new capabilities and technologies across its networking portfolio that are designed to drive a more unified and integrated approach to managing and securing customer networks.

“As a market leader in both networking and security, and with visibility into over 1 billion endpoints, Cisco is in a unique position to build the industry’s premier AI-driven, secure and simple networking management platform, Cisco Networking Cloud,” said Jonathan Davidson, EVP and GM, Cisco Networking. “Whether it’s autonomous operations or simply delivering a trouble-free experience to an end user, endpoint and network data is key to AI-driven intelligence. The best data produces the best result, and Cisco has the best data.”

To address the needs of their users, Cisco is introducing new Cisco Networking Cloud innovations:

- New Integrations with Cisco Secure Access: Highlighting Cisco’s commitment to provide customers with the tools to bring networking and security teams closer together, Cisco is introducing deeper integrations between Cisco Networking and Security Cloud platforms. These innovations with Cisco Secure Access, Cisco’s Secure Services Edge (SSE) solution, deliver a unified approach to networking and security management, and automated monitoring of the digital experience, providing insights from network, device and application performance metrics. These integrations are available today with Catalyst SD-WAN and ThousandEyes.

- Enhanced security posture reporting for OT assets: Industrial organizations can now utilize the Security Posture report for comprehensive details on OT asset inventories, top vulnerabilities and highest cyber risks to help reduce the attack surface. These features are available with Cisco Cyber Vision and available as part of our hardened industrial-grade routers, switches, and firewalls.

To demonstrate how Cisco is continuing to converge its management platforms and work towards a unified portfolio experience, Cisco is introducing:

- Cloud Monitoring for Catalyst Wireless: First introduced as a capability for Catalyst switching, customers can now view select Catalyst wireless devices in the Meraki dashboard. This new capability gives Cisco customers a complete, cloud-managed view of their access networks. Cloud Monitoring for Catalyst Wireless supports the Catalyst 9800 Wireless Controllers and most Catalyst Wi-Fi 5 Wave 2, Wi-Fi 6 and Wi-Fi 6E access points.

- Catalyst 9300-M Cloud-Managed Switch Models: Cisco is continuing its journey to a single, unified hardware architecture with the new Catalyst 9300-M switches which will be managed natively from the Meraki dashboard. This is the first step in the evolution towards full cloud management for the Catalyst switching portfolio.

Cisco is also unveiling new technologies to help customers accelerate the adoption of AI by providing the right infrastructure for the right use cases.

- Cisco UCS X-Series Direct: An extension of Cisco’s industry-leading and award winning UCS X-Series Modular System, the new Cisco X-Series Direct is built for environments where customers need connectivity and compute power at the edge to support more applications with less infrastructure

- Cisco AI Validated Designs: Cisco is expanding its offering of converged and hyperconverged validated designs addressing new use cases, leveraging recently announced Cisco Validated Solutions and AI/ML blueprint for data center networks. These designs can accelerate AI/ML deployments and minimize risks by helping customers build high performance compute and data center network fabrics with automation and visibility tailored for a variety of AI-driven enterprise use cases.

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Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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