Latest news with #Kentik
Yahoo
07-05-2025
- Business
- Yahoo
Kentik Brings Network Intelligence to ServiceNow
LAS VEGAS, May 07, 2025--(BUSINESS WIRE)--Knowledge 2025 – Kentik, the network intelligence platform, today announced a powerful agentic AI integration with ServiceNow at Knowledge 2025, the company's annual customer and partner event in Las Vegas. Kentik provides enterprises with complete visibility across their networks, combining a natural language interface with automated context enrichment to enable rapid optimization of on-prem, hybrid, and cloud networks. With this integration, ServiceNow ITOM customers are able to address complex network issues without having to leave the ServiceNowⓇ AI Platform. Kentik's Network Intelligence provides a natural language interface that empowers ServiceNow customers, even those with limited network experience, to self-serve network insights and rapidly answer critical questions about connectivity, performance, capacity, cost, and beyond. "We're providing a powerful understanding of the network layer for all," said Avi Freedman, Founder and CEO of Kentik. "And for seasoned network engineers, we're massively reducing toil, so that they can focus on mission-critical work that drives business outcomes." Kentik's new agentic integration with AI Workflows enables ServiceNow ITOM users to quickly resolve network issues and improve customer experience. With code velocity increasing by 70% following the rise of AI coding assistants (according to the latest DORA report), IT and network teams are drowning in data as they waste time and energy switching between myriad tools in order to troubleshoot problems. Kentik delivers instant answers to any network question, uncovering cost savings, hardening security posture, and powering application performance. "AI agents drive productivity gains across all lines of business," said Gab Menachem, vice president, product, ITOM at ServiceNow. "By integrating Kentik Network Intelligence into ServiceNow's AI agent workflows, businesses can break down data silos and empower the entire IT organization with network insights that deliver business value." "We use Kentik to continually improve our network at ServiceNow," said Davin Camara, vice president, cloud network services at ServiceNow. We're excited that it will now be a native part of the ITOM ecosystem for ServiceNow customers." About Kentik Kentik is the network intelligence platform for modern infrastructure teams. Unlike traditional monitoring and observability tools, Kentik demystifies complex network operations, enabling organizations to deliver applications and innovation at scale. Built by network experts to make critical insight accessible to every engineer, Kentik is the real-time source of truth that understands every network in context — from data center to cloud to the internet. This single platform unifies and correlates cloud, device, flow, and synthetic data to turn telemetry into action. Market leaders like Akamai, Dropbox, and Zoom rely on Kentik to run, manage, and optimize their networks.
Business Wire
07-05-2025
- Business
- Business Wire
Kentik Brings Network Intelligence to ServiceNow
LAS VEGAS--(BUSINESS WIRE)-- Knowledge 2025 – Kentik, the network intelligence platform, today announced a powerful agentic AI integration with ServiceNow at Knowledge 2025, the company's annual customer and partner event in Las Vegas. Kentik provides enterprises with complete visibility across their networks, combining a natural language interface with automated context enrichment to enable rapid optimization of on-prem, hybrid, and cloud networks. Kentik's new agentic integration with AI Workflows enables ServiceNow ITOM users to quickly resolve network issues and improve customer experience. With this integration, ServiceNow ITOM customers are able to address complex network issues without having to leave the ServiceNow Ⓡ AI Platform. Kentik's Network Intelligence provides a natural language interface that empowers ServiceNow customers, even those with limited network experience, to self-serve network insights and rapidly answer critical questions about connectivity, performance, capacity, cost, and beyond. 'We're providing a powerful understanding of the network layer for all,' said Avi Freedman, Founder and CEO of Kentik. 'And for seasoned network engineers, we're massively reducing toil, so that they can focus on mission-critical work that drives business outcomes.' Kentik's new agentic integration with AI Workflows enables ServiceNow ITOM users to quickly resolve network issues and improve customer experience. With code velocity increasing by 70% following the rise of AI coding assistants (according to the latest DORA report), IT and network teams are drowning in data as they waste time and energy switching between myriad tools in order to troubleshoot problems. Kentik delivers instant answers to any network question, uncovering cost savings, hardening security posture, and powering application performance. 'AI agents drive productivity gains across all lines of business,' said Gab Menachem, vice president, product, ITOM at ServiceNow. 'By integrating Kentik Network Intelligence into ServiceNow's AI agent workflows, businesses can break down data silos and empower the entire IT organization with network insights that deliver business value.' 'We use Kentik to continually improve our network at ServiceNow,' said Davin Camara, vice president, cloud network services at ServiceNow. We're excited that it will now be a native part of the ITOM ecosystem for ServiceNow customers.' About Kentik Kentik is the network intelligence platform for modern infrastructure teams. Unlike traditional monitoring and observability tools, Kentik demystifies complex network operations, enabling organizations to deliver applications and innovation at scale. Built by network experts to make critical insight accessible to every engineer, Kentik is the real-time source of truth that understands every network in context — from data center to cloud to the internet. This single platform unifies and correlates cloud, device, flow, and synthetic data to turn telemetry into action. Market leaders like Akamai, Dropbox, and Zoom rely on Kentik to run, manage, and optimize their networks. ServiceNow, the ServiceNow logo, Now, Now Platform, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries.
USA Today
13-02-2025
- Business
- USA Today
The Shift to Network Intelligence: How AI is Reshaping Digital Infrastructure
Kyle J. Russell Contributor Modern networks have outgrown traditional network monitoring. The rapid expansion of cloud-based applications, remote work, and decentralized operations has made managing networks more complex than ever. In response, businesses are turning to Network Intelligence, a new approach that leverages artificial intelligence (AI) to not only observe networks but actively optimize them. For industries that rely on real-time connectivity—whether in logistics, streaming services, or online marketplaces—network reliability is critical. A slowdown or outage can disrupt operations, causing revenue loss and frustrated customers. Traditional monitoring tools were built for a different era; one where networks were simpler, and troubleshooting was a manual process. As digital ecosystems expand, companies need a more adaptive, proactive approach to network management. From Network Monitoring to Network Intelligence Network monitoring has historically been reactive: engineers sift through logs, interpret cryptic alerts, and manually trace the source of problems. This approach often leads to delayed resolutions and inefficient troubleshooting. 'Networks have become this complex organism of clouds, data centers, and SaaS applications, all connected by the internet as the new backbone,' says Christoph Pfister, Chief Product Officer at Kentik. 'Managing that complexity requires more than just dashboards and alerts – it requires intelligence.' This shift is where Network Intelligence comes in. Rather than waiting for an issue to escalate, AI-powered systems continuously analyze network behavior, identify anomalies, and even predict potential failures before they happen. AI's Role in Network Optimization The integration of AI into network management has transformed how businesses operate. AI-driven systems can: Detect anomalies in real-time: AI recognizes unusual patterns in traffic flow, helping teams address potential outages before they escalate. Predict network issues: Machine learning models analyze past incidents and forecast possible future disruptions. Optimize performance automatically: AI can recommend (and, in some cases, execute) changes to improve network efficiency. Take, for example, cloud-based applications that require large amounts of data to be transferred across different regions. An AI-powered network intelligence system can detect inefficiencies—such as unnecessary routing delays or misconfigured traffic paths—and suggest ways to optimize data flow. These adjustments reduce costs, improve performance, and free up engineers for higher-level problem-solving. A New Era: AI as a Digital Network Engineer As AI capabilities evolve, businesses are moving beyond simple automation toward what some call "agentic AI"—AI that can act as a digital network engineer. Instead of just identifying problems, these AI systems are learning to make decisions and take corrective actions within predefined guardrails. 'We're imagining a world where network insights are no longer limited to network experts,' says Pfister. 'Where AI augments engineers, increasing their productivity and reducing troubleshooting time.' A major step in this direction is natural language interaction with network data. Traditionally, engineers needed deep technical expertise to query and interpret network logs. Now, generative AI tools allow teams to simply ask the system a question—such as 'Why is traffic latency high in this region?'—and receive a precise, actionable response. For global companies, this also means overcoming language barriers. Some teams are now using AI-driven network intelligence in multiple languages, allowing engineers to diagnose and resolve issues without needing to be fluent in the system's primary programming language. Beyond Automation: The Future of Network Intelligence While AI-driven networking is still developing, businesses are already seeing significant efficiency gains. Companies that previously relied on manual investigations are now resolving network issues in a fraction of the time. One major shift is the ability to delegate network troubleshooting across teams. Instead of overwhelming IT departments with routine network inquiries, companies are integrating AI-powered chat systems that allow non-technical employees to ask simple network-related questions and receive instant answers—without needing direct intervention from engineers. Still, full automation remains a gradual process. While AI can suggest fixes and predict future issues, many organizations prefer to keep a human in the loop, ensuring that AI-driven changes align with broader IT strategies. The Competitive Advantage of Network Intelligence The evolution from network monitoring to network intelligence is more than just an upgrade—it's becoming a necessity for businesses that rely on always-on connectivity. Whether managing e-commerce platforms, cloud-based collaboration tools, or global logistics networks, companies are realizing that a proactive, AI-driven approach to network management is no longer optional. As the industry moves forward, the focus will be on how AI can work alongside engineers, rather than replacing them. The ability to process vast amounts of data, provide real-time insights, and automate routine tasks will redefine what it means to manage a modern network. 'Network Intelligence isn't just about solving problems faster,' Pfister adds. 'It's about making network management more accessible, more efficient, and ultimately, more intelligent.'
