Skip to main content

Cisco Powers Secure Infrastructure for the AI Era

Cisco unveiled new innovations to help companies adapt and transform in the AI era. 

“Cisco is delivering the critical infrastructure for the AI era—secure networks and experiences, optimized for AI that connect the world and power the global economy,” said Jeetu Patel, President and Chief Product Officer, Cisco. “We’re witnessing an unprecedented surge in innovation as organizations embrace agentic AI to automate workflows and solve complex problems. Cisco has a rich history of helping companies run their infrastructure; today, we’re building on that foundation to power the next generation of AI.”

Cisco unveiled a wide range of new products and enhancements to help customers navigate the shift to agentic AI, including:

  • Workplaces for the age of AI: Creating an intelligent workplace relies on modern network infrastructure that adapts to increased traffic, ensures always-on access, and delivers robust security. Meanwhile, organizations must empower people to work smarter and more effectively than ever. To meet these demands, Cisco announced new devices to power campus, branch, and industrial networks, and AI-powered unified management to help organizations move past reactive workflows to conducting autonomous, proactive network management. Additionally, Cisco's AI-powered Room Vision PTZ camera transforms meetings for a more cinematic experience. The Jira Workflow Automation in the Cisco AI Assistant for Webex Suite boosts efficiency, while the Webex AI Agent streamlines customer self-service with industry-specific templates.
  • Simplified Operations for the age of AI with AgenticOps: Cisco is unveiling multiple AI-driven solutions to empower IT teams with simplicity, and automation, including Cisco AI Canvas, an industry-first generative user interface for real-time collaboration between network and security operations teams, and the Cisco AI Assistant, which provides conversational control across the Cisco suite. Core to the new capabilities is Cisco’s Deep Network Model — a domain-specific LLM trained on Cisco’s vast knowledge base, including Cisco U. courseware and Certified Internetwork Expert (CCIE) materials. The result is AI that understands networks and helps IT teams work more efficiently.
  • Data Centers for the age of AI: Cisco unveiled continued innovation in its compute and network solutions for datacenters to support agentic AI, which places a premium on network bandwidth, latency, and power efficiency. To help drive adoption of AI solutions to strengthen the power grid, Cisco is joining the EPRI Open Power AI Consortium. Additionally, Cisco is introducing new capabilities to assist service providers to deliver and monetize new AI services.
  • Security for the age of AI: Robust security has never been more critical, as enterprises navigate the complexity of a growing number of applications, a highly distributed and mobile workforce, and sophisticated AI-driven threats.Cisco is introducing innovations across its Hybrid Mesh Firewall and Universal Zero Trust Network Access (ZTNA) offerings; announced two new Firewalls, the 6100 series and 200 series, providing customers with best-in-class price performance; and unveiled capabilities across the Cisco Security Cloud to help customers meet the challenges of securing agentic AI.
  • Digital Resilience at the Core: Several AI innovations, including enhanced capabilities in Splunk Observability Cloud and Splunk AppDynamics, along with deeper integrations between Cisco and Splunk solutions, are helping customers gain greater visibility into network health and performance. Key updates include a bidirectional integration between Splunk Observability, Cisco ThousandEyes Assurance and Cisco Enterprise Networks, enabling more resilient, insight-driven digital operations.
  • Unified Management for the age of AI: The company is previewing Cisco Cloud Control, a new unified management platform spanning Cisco’s networking, security, and observability portfolios. Cisco Cloud Control will offer a cohesive experience anchored by AI native tools like Cisco AI Canvas, and the Cisco AI Assistant. With Cisco Cloud Control IT will be able to execute cross-product workflows, proactively identify and resolve issues, and manage infrastructure with ease. 
     

The Latest

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

Cisco Powers Secure Infrastructure for the AI Era

Cisco unveiled new innovations to help companies adapt and transform in the AI era. 

“Cisco is delivering the critical infrastructure for the AI era—secure networks and experiences, optimized for AI that connect the world and power the global economy,” said Jeetu Patel, President and Chief Product Officer, Cisco. “We’re witnessing an unprecedented surge in innovation as organizations embrace agentic AI to automate workflows and solve complex problems. Cisco has a rich history of helping companies run their infrastructure; today, we’re building on that foundation to power the next generation of AI.”

Cisco unveiled a wide range of new products and enhancements to help customers navigate the shift to agentic AI, including:

  • Workplaces for the age of AI: Creating an intelligent workplace relies on modern network infrastructure that adapts to increased traffic, ensures always-on access, and delivers robust security. Meanwhile, organizations must empower people to work smarter and more effectively than ever. To meet these demands, Cisco announced new devices to power campus, branch, and industrial networks, and AI-powered unified management to help organizations move past reactive workflows to conducting autonomous, proactive network management. Additionally, Cisco's AI-powered Room Vision PTZ camera transforms meetings for a more cinematic experience. The Jira Workflow Automation in the Cisco AI Assistant for Webex Suite boosts efficiency, while the Webex AI Agent streamlines customer self-service with industry-specific templates.
  • Simplified Operations for the age of AI with AgenticOps: Cisco is unveiling multiple AI-driven solutions to empower IT teams with simplicity, and automation, including Cisco AI Canvas, an industry-first generative user interface for real-time collaboration between network and security operations teams, and the Cisco AI Assistant, which provides conversational control across the Cisco suite. Core to the new capabilities is Cisco’s Deep Network Model — a domain-specific LLM trained on Cisco’s vast knowledge base, including Cisco U. courseware and Certified Internetwork Expert (CCIE) materials. The result is AI that understands networks and helps IT teams work more efficiently.
  • Data Centers for the age of AI: Cisco unveiled continued innovation in its compute and network solutions for datacenters to support agentic AI, which places a premium on network bandwidth, latency, and power efficiency. To help drive adoption of AI solutions to strengthen the power grid, Cisco is joining the EPRI Open Power AI Consortium. Additionally, Cisco is introducing new capabilities to assist service providers to deliver and monetize new AI services.
  • Security for the age of AI: Robust security has never been more critical, as enterprises navigate the complexity of a growing number of applications, a highly distributed and mobile workforce, and sophisticated AI-driven threats.Cisco is introducing innovations across its Hybrid Mesh Firewall and Universal Zero Trust Network Access (ZTNA) offerings; announced two new Firewalls, the 6100 series and 200 series, providing customers with best-in-class price performance; and unveiled capabilities across the Cisco Security Cloud to help customers meet the challenges of securing agentic AI.
  • Digital Resilience at the Core: Several AI innovations, including enhanced capabilities in Splunk Observability Cloud and Splunk AppDynamics, along with deeper integrations between Cisco and Splunk solutions, are helping customers gain greater visibility into network health and performance. Key updates include a bidirectional integration between Splunk Observability, Cisco ThousandEyes Assurance and Cisco Enterprise Networks, enabling more resilient, insight-driven digital operations.
  • Unified Management for the age of AI: The company is previewing Cisco Cloud Control, a new unified management platform spanning Cisco’s networking, security, and observability portfolios. Cisco Cloud Control will offer a cohesive experience anchored by AI native tools like Cisco AI Canvas, and the Cisco AI Assistant. With Cisco Cloud Control IT will be able to execute cross-product workflows, proactively identify and resolve issues, and manage infrastructure with ease. 
     

The Latest

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...