Skip to main content

Kentik AI Advisor Released

Kentik launched Kentik AI Advisor – an artificial intelligence that deeply understands enterprise and service provider networks, thinks critically, and provides guidance for designing, operating, and protecting infrastructure at scale.

Kentik AI Advisor drives massive efficiencies across network, cloud, and infrastructure teams, and revolutionizes how companies approach network management and performance. The AI can interpret intent, build a plan based on rich telemetry from the Kentik platform, and then execute that plan reliably and securely.

Kentik AI Advisor leverages the proprietary Kentik Data Engine – an ultra-scalable, real-time data platform that ingests a trillion telemetry points per day – in order to unify cloud, device, flow, and internet data. AI Advisor combines advanced LLM and reasoning model capabilities with Kentik’s deep network expertise and engineering context to interpret intent, plan investigations, and explain its logic every step of the way.

Benefits of using the Kentik AI Advisor include:

  • Cost Optimization: Kentik AI Advisor automates work needed to identify cost efficiencies across your entire network. Whether on-prem, in the cloud, or across both – Kentik AI Advisor can automatically sift through all your network data to uncover opportunities to reduce VPC and transit costs, optimize peering and interconnects, and evaluate high-cost routes to improve your overall cost structure.
  • Capacity Planning: Kentik AI Advisor automatically analyzes utilization trends, forecasts run-out scenarios, and recommends optimal infrastructure investments. This innovation transforms capacity planning from reactive guesswork into proactive, data-driven intelligence.
  • Rapid Troubleshooting and DDoS Investigation: Kentik AI Advisor accelerates incident response and cuts MTTR by correlating flow, device, and cloud data to quickly pinpoint root causes and separate real threats from background noise. It then delivers clear, expert recommendations to guide fast mitigation and restore service stability.
  • Integrated Institutional Knowledge: Kentik AI Advisor goes beyond foundational LLM knowledge, leveraging internal runbooks and custom network context to deliver tailored value and insights based on unique business needs.

“Kentik AI Advisor is designed for modern infrastructure teams that are tasked with scaling operations, optimizing costs, and safeguarding digital assets — all while facing talent shortages,” said Avi Freedman, CEO and Co-Founder of Kentik. “Unlike traditional AIOps which correlates and reduces only across the alerts generated for it, AI Advisor leverages its deep contextual understanding of every network to research and identify issues, analyze trends, and recommend precise actions.”

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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 ...

Kentik AI Advisor Released

Kentik launched Kentik AI Advisor – an artificial intelligence that deeply understands enterprise and service provider networks, thinks critically, and provides guidance for designing, operating, and protecting infrastructure at scale.

Kentik AI Advisor drives massive efficiencies across network, cloud, and infrastructure teams, and revolutionizes how companies approach network management and performance. The AI can interpret intent, build a plan based on rich telemetry from the Kentik platform, and then execute that plan reliably and securely.

Kentik AI Advisor leverages the proprietary Kentik Data Engine – an ultra-scalable, real-time data platform that ingests a trillion telemetry points per day – in order to unify cloud, device, flow, and internet data. AI Advisor combines advanced LLM and reasoning model capabilities with Kentik’s deep network expertise and engineering context to interpret intent, plan investigations, and explain its logic every step of the way.

Benefits of using the Kentik AI Advisor include:

  • Cost Optimization: Kentik AI Advisor automates work needed to identify cost efficiencies across your entire network. Whether on-prem, in the cloud, or across both – Kentik AI Advisor can automatically sift through all your network data to uncover opportunities to reduce VPC and transit costs, optimize peering and interconnects, and evaluate high-cost routes to improve your overall cost structure.
  • Capacity Planning: Kentik AI Advisor automatically analyzes utilization trends, forecasts run-out scenarios, and recommends optimal infrastructure investments. This innovation transforms capacity planning from reactive guesswork into proactive, data-driven intelligence.
  • Rapid Troubleshooting and DDoS Investigation: Kentik AI Advisor accelerates incident response and cuts MTTR by correlating flow, device, and cloud data to quickly pinpoint root causes and separate real threats from background noise. It then delivers clear, expert recommendations to guide fast mitigation and restore service stability.
  • Integrated Institutional Knowledge: Kentik AI Advisor goes beyond foundational LLM knowledge, leveraging internal runbooks and custom network context to deliver tailored value and insights based on unique business needs.

“Kentik AI Advisor is designed for modern infrastructure teams that are tasked with scaling operations, optimizing costs, and safeguarding digital assets — all while facing talent shortages,” said Avi Freedman, CEO and Co-Founder of Kentik. “Unlike traditional AIOps which correlates and reduces only across the alerts generated for it, AI Advisor leverages its deep contextual understanding of every network to research and identify issues, analyze trends, and recommend precise actions.”

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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 ...