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Auvik Aurora Released

Auvik announced the launch of Auvik Aurora, AI-powered IT agents designed to help IT professionals proactively manage, troubleshoot, and optimize their networks. 

Purpose-built for network and infrastructure management, Auvik Aurora works out of the box with no complex setup or AI tuning required. Auvik AI agents are grounded in Auvik’s vast data repository, built up over 15 years of SaaS-based network management, enabling insights and recommendations informed by real-world IT complexity. Auvik is releasing a succession of AI-powered features to help IT teams resolve tickets faster, reduce escalations, and stay ahead of network and infrastructure issues.

“Auvik has long been the system of record for thousands of clients’ networks and infrastructure. Auvik Aurora is built directly on top of our unrivaled dataset of real-world complex IT environments,” said Doug Murray, CEO of Auvik. “Since its early days, Auvik’s framework for network management has been ‘See, Tell, Do’: gain complete visibility, surface the issues that need attention, and drive automation to resolve them. Auvik Aurora builds on this vision, further empowering IT technicians to prevent network and infrastructure issues and reduce mean time to resolution when issues do occur, while helping our partners uncover revenue opportunities. This is just the beginning, as Auvik will continue to invest significantly in enhancing our agentic AI offerings to lead the future of IT and network operations.”

Auvik AI agents leverage real-time network data—including topology, device relationships, performance data, lifecycle status, and security vulnerability data—to deliver actionable recommendations, prioritize alerts by impact, and guide faster issue and ticket resolution. With thousands of organizations trusting Auvik to power their IT operations today, Auvik AI agents are uniquely suited to leverage network and client-specific data to provide contextual recommendations and tailored network actions, improving effectiveness over generic LLM responses.

“Auvik Aurora enters the market with a meaningful advantage, as it is built on the rich and diverse dataset Auvik has already established through its cloud-based platform,” said Shamus McGillicuddy, VP of Research, EMA. “Our research shows only 44% of IT organizations are fully confident that the quality of their network data can support AI-driven network management. As organizations continue to learn how to assess and build trust in AI solutions, Auvik’s data lake serves as a critical foundation for agentic IT operations.”

Auvik Aurora’s out-of-the-box capabilities empower IT teams without dedicated AI expertise or implementation budgets to realize value from day one. The agents enable natural-language alert creation and recommendations tailored to each IT environment and provide unique, vendor-specific assistance for command syntax and scripting. Auvik Aurora also delivers proactive device lifecycle management, surfacing end-of-life (EOL) and end-of-support (EOS) device risks before they cause an outage or security exposure.

Auvik Aurora provides value instantly, enabling IT teams and MSPs to:

  • Pre-empt issues by knowing which devices to patch or replace before they cause an outage.
  • Find problems faster by accessing AI-powered insights, eliminating the need to scramble when users call in for assistance.
  • Resolve tickets more efficiently by leveraging context-based recommendations and command assistance for the specific device.

“Today’s IT technicians are more overloaded than ever with alerts and tickets. Auvik’s agentic framework is directly answering the market’s need for more intelligent IT insights and actionable recommendations,” said Dan Zaniewski, Chief Technology Officer, Auvik. “Auvik AI agents are naturally embedded throughout Auvik’s platform, integrated directly into the workflows IT teams spend too much time in today. The result is real customer value for both IT professionals and MSP partners alike: faster troubleshooting, smarter prioritization, and insights that simply weren’t possible before.”

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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 ...

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Auvik Aurora Released

Auvik announced the launch of Auvik Aurora, AI-powered IT agents designed to help IT professionals proactively manage, troubleshoot, and optimize their networks. 

Purpose-built for network and infrastructure management, Auvik Aurora works out of the box with no complex setup or AI tuning required. Auvik AI agents are grounded in Auvik’s vast data repository, built up over 15 years of SaaS-based network management, enabling insights and recommendations informed by real-world IT complexity. Auvik is releasing a succession of AI-powered features to help IT teams resolve tickets faster, reduce escalations, and stay ahead of network and infrastructure issues.

“Auvik has long been the system of record for thousands of clients’ networks and infrastructure. Auvik Aurora is built directly on top of our unrivaled dataset of real-world complex IT environments,” said Doug Murray, CEO of Auvik. “Since its early days, Auvik’s framework for network management has been ‘See, Tell, Do’: gain complete visibility, surface the issues that need attention, and drive automation to resolve them. Auvik Aurora builds on this vision, further empowering IT technicians to prevent network and infrastructure issues and reduce mean time to resolution when issues do occur, while helping our partners uncover revenue opportunities. This is just the beginning, as Auvik will continue to invest significantly in enhancing our agentic AI offerings to lead the future of IT and network operations.”

Auvik AI agents leverage real-time network data—including topology, device relationships, performance data, lifecycle status, and security vulnerability data—to deliver actionable recommendations, prioritize alerts by impact, and guide faster issue and ticket resolution. With thousands of organizations trusting Auvik to power their IT operations today, Auvik AI agents are uniquely suited to leverage network and client-specific data to provide contextual recommendations and tailored network actions, improving effectiveness over generic LLM responses.

“Auvik Aurora enters the market with a meaningful advantage, as it is built on the rich and diverse dataset Auvik has already established through its cloud-based platform,” said Shamus McGillicuddy, VP of Research, EMA. “Our research shows only 44% of IT organizations are fully confident that the quality of their network data can support AI-driven network management. As organizations continue to learn how to assess and build trust in AI solutions, Auvik’s data lake serves as a critical foundation for agentic IT operations.”

Auvik Aurora’s out-of-the-box capabilities empower IT teams without dedicated AI expertise or implementation budgets to realize value from day one. The agents enable natural-language alert creation and recommendations tailored to each IT environment and provide unique, vendor-specific assistance for command syntax and scripting. Auvik Aurora also delivers proactive device lifecycle management, surfacing end-of-life (EOL) and end-of-support (EOS) device risks before they cause an outage or security exposure.

Auvik Aurora provides value instantly, enabling IT teams and MSPs to:

  • Pre-empt issues by knowing which devices to patch or replace before they cause an outage.
  • Find problems faster by accessing AI-powered insights, eliminating the need to scramble when users call in for assistance.
  • Resolve tickets more efficiently by leveraging context-based recommendations and command assistance for the specific device.

“Today’s IT technicians are more overloaded than ever with alerts and tickets. Auvik’s agentic framework is directly answering the market’s need for more intelligent IT insights and actionable recommendations,” said Dan Zaniewski, Chief Technology Officer, Auvik. “Auvik AI agents are naturally embedded throughout Auvik’s platform, integrated directly into the workflows IT teams spend too much time in today. The result is real customer value for both IT professionals and MSP partners alike: faster troubleshooting, smarter prioritization, and insights that simply weren’t possible before.”

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 ...