Auvik announced that Auvik SaaS Management (ASM) is now available through the Pax8 Marketplace.
This expansion, following the availability of Auvik Network Management (ANM) on the Marketplace in 2024, marks a significant milestone as the first SaaS management platform available on Pax8 with shadow IT and shadow AI discovery capabilities.
Auvik is a managed service provider (MSP) focused SaaS Management Platform (SMP) to be recognized in the 2025 Gartner® Magic Quadrant™ for SaaS Management. The solution enables MSPs to deliver licensing, usage, and security insights for the SaaS applications within their clients’ environments, helping organizations save time and money while positioning MSPs as trusted advisors.
Auvik SaaS Management delivers a breadth of coverage through its combination of identity provider (IdP), browser plugin, and desktop agent deployment, capturing application usage from all sources including desktop inventory, browser activity, and user authentication. This approach surfaces shadow IT and shadow AI that traditional discovery methods miss, giving MSPs complete visibility into their clients’ SaaS ecosystems.
“Even as organizations transition toward agentic AI, SaaS application usage also continues to increase and the need for robust visibility and management has never been greater,” said Oguo Atuanya, Corporate Vice President of Vendor Experience at Pax8. “By introducing Auvik SaaS Management to the Pax8 Marketplace, we’re equipping our partners with advanced tools to discover shadow IT and shadow AI, helping their clients streamline operations and take command of their evolving SaaS environments.”
Building on recent platform enhancements announced in September, ASM’s client dashboard consolidates critical information into a single control center. IT teams can quickly identify cost-saving opportunities, track security posture, provision applications, and optimize license allocation – all from one interface designed to manage the growing complexity of SaaS portfolios.
“The availability of Auvik SaaS Management on the Pax8 Marketplace makes it easier than ever for our partners to integrate comprehensive SaaS discovery and management into their service offerings,” said Mark Ralls, President at Auvik. “With the unique ability to uncover shadow IT and shadow AI, our platform helps MSPs address one of the most pressing challenges their clients face in today’s complex IT landscape while positioning themselves as trusted advisors on SaaS management.”
With ASM now available on the Pax8 Marketplace, partners can procure both Auvik Network Management and Auvik SaaS Management solutions through a single trusted platform. This integration streamlines vendor management, reduces operational complexity, and enables MSPs to focus on delivering greater value to their clients.
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.