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Infoblox Completes Kentik Acquisition

Infoblox has completed its acquisition of Kentik, a provider of network intelligence and observability company.

With the close of the acquisition, Infoblox advances its broader platform strategy, adding Kentik’s real-time network intelligence and observability to its trusted foundation of critical network services, asset visibility and preemptive security. Kentik brings live operational intelligence from network flow, routing, path and performance data, providing deeper context into how traffic moves and services perform across increasingly complex hybrid and multi-cloud environments. As these capabilities come together, they will help organizations simplify operations, strengthen cyber resilience and provide the trusted context needed to advance AI-driven networking and security operations.

As Infoblox and Kentik integrate their capabilities, authoritative infrastructure context and real-time operational intelligence will strengthen the trusted data foundation at the core of the Infoblox Platform, helping organizations support AgenticOps and broader AI-driven operations with confidence.

With the close of the acquisition, Infoblox will:

  • Help organizations gain a more complete understanding of their enterprise infrastructure by combining authoritative infrastructure context with real-time network intelligence and observability.
  • Provide richer operational context for networking, cloud and security teams, helping organizations investigate issues faster, improve operational efficiency and make more informed decisions.
  • Strengthen the data foundation for AgenticOps and broader AI-driven operations by providing the trusted infrastructure and operational context needed to support AI, automation and orchestration.

“AI is transforming how organizations operate enterprise infrastructure, but its value depends on the quality of the data that informs every decision,” said Scott Harrell, president and CEO of Infoblox. “For more than two decades, Infoblox has been the authoritative source of truth for the critical network services that organizations depend on every day. Kentik adds powerful operational intelligence that enriches that data. Together, we’re advancing the Infoblox vision for an AI-driven platform that brings networking, security and visibility together to help customers simplify operations, improve cyber resilience and build the trusted data foundation required for the next generation of AI-driven operations.”

“Kentik was founded on the belief that understanding what your infrastructure is doing is the foundation for running it well,” said Avi Freedman, co-founder and CEO of Kentik. “As AI becomes a primary operator of enterprise infrastructure, it will need both authoritative knowledge of what exists and real-time understanding of what is happening. By bringing together Infoblox’s trusted infrastructure context with Kentik’s operational intelligence, we’re building the foundation for enterprises to operate faster, more securely and with greater confidence—and to safely govern how AI makes decisions across modern infrastructure.”

Together, Infoblox’s authoritative infrastructure context and Kentik’s real-time operational intelligence will help organizations better understand, operate and secure increasingly complex hybrid and multi-cloud environments. Infoblox plans to integrate Kentik’s capabilities into its platform over time, with additional product innovations and integration milestones to be shared as they become available.

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Infoblox Completes Kentik Acquisition

Infoblox has completed its acquisition of Kentik, a provider of network intelligence and observability company.

With the close of the acquisition, Infoblox advances its broader platform strategy, adding Kentik’s real-time network intelligence and observability to its trusted foundation of critical network services, asset visibility and preemptive security. Kentik brings live operational intelligence from network flow, routing, path and performance data, providing deeper context into how traffic moves and services perform across increasingly complex hybrid and multi-cloud environments. As these capabilities come together, they will help organizations simplify operations, strengthen cyber resilience and provide the trusted context needed to advance AI-driven networking and security operations.

As Infoblox and Kentik integrate their capabilities, authoritative infrastructure context and real-time operational intelligence will strengthen the trusted data foundation at the core of the Infoblox Platform, helping organizations support AgenticOps and broader AI-driven operations with confidence.

With the close of the acquisition, Infoblox will:

  • Help organizations gain a more complete understanding of their enterprise infrastructure by combining authoritative infrastructure context with real-time network intelligence and observability.
  • Provide richer operational context for networking, cloud and security teams, helping organizations investigate issues faster, improve operational efficiency and make more informed decisions.
  • Strengthen the data foundation for AgenticOps and broader AI-driven operations by providing the trusted infrastructure and operational context needed to support AI, automation and orchestration.

“AI is transforming how organizations operate enterprise infrastructure, but its value depends on the quality of the data that informs every decision,” said Scott Harrell, president and CEO of Infoblox. “For more than two decades, Infoblox has been the authoritative source of truth for the critical network services that organizations depend on every day. Kentik adds powerful operational intelligence that enriches that data. Together, we’re advancing the Infoblox vision for an AI-driven platform that brings networking, security and visibility together to help customers simplify operations, improve cyber resilience and build the trusted data foundation required for the next generation of AI-driven operations.”

“Kentik was founded on the belief that understanding what your infrastructure is doing is the foundation for running it well,” said Avi Freedman, co-founder and CEO of Kentik. “As AI becomes a primary operator of enterprise infrastructure, it will need both authoritative knowledge of what exists and real-time understanding of what is happening. By bringing together Infoblox’s trusted infrastructure context with Kentik’s operational intelligence, we’re building the foundation for enterprises to operate faster, more securely and with greater confidence—and to safely govern how AI makes decisions across modern infrastructure.”

Together, Infoblox’s authoritative infrastructure context and Kentik’s real-time operational intelligence will help organizations better understand, operate and secure increasingly complex hybrid and multi-cloud environments. Infoblox plans to integrate Kentik’s capabilities into its platform over time, with additional product innovations and integration milestones to be shared as they become available.

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Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...