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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. 
     

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Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...

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

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...