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5 Reasons Traditional VPNs Struggle in a Cloud-First World

Graham Melville
Cloudbrink

VPNs Were Built for a Different Internet

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today. Most applications lived inside company data centers, employees worked primarily from offices, and remote access was the exception rather than the rule.

VPNs solved a specific problem: allowing external users to connect securely to the corporate network. Once connected, employees could access internal applications as if they were physically present in the office.

For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity.

In a cloud — first world, that assumption no longer holds.

Applications Have Moved Beyond the Corporate Network

One of the most significant shifts in enterprise IT has been the migration of applications to cloud platforms and SaaS environments. Tools that once ran in corporate data centers now live in distributed infrastructure operated by cloud providers.

When employees access these applications, they often connect directly over the internet rather than through internal corporate systems. Yet many organizations still route that traffic through VPN gateways designed to funnel connections back into the corporate network first.

This detour introduces inefficiencies. Traffic may travel hundreds or thousands of extra miles before reaching its destination, adding latency and complexity to what should be a straightforward connection.

The result is a mismatch between how networks are designed and how modern applications are actually used.

Centralized Gateways Create Performance Bottlenecks

Traditional VPN architectures rely on centralized gateways to authenticate users and route traffic. These gateways become choke points as remote work and cloud usage expand.

When large numbers of users connect simultaneously, performance can degrade. Latency increases, throughput declines, and application responsiveness suffers.

This issue becomes especially noticeable for collaboration platforms, cloud — based development tools, and data — intensive applications that require consistent, low — latency connectivity.

Employees may not understand the technical cause, but they feel the impact immediately. Slow connections, dropped sessions, and inconsistent performance quickly erode confidence in the network.

In many cases, users begin seeking ways to bypass the VPN entirely.

VPNs Assume Trust Once a User Connects

Another challenge with traditional VPN models is the way they establish trust. After a user authenticates and joins the corporate network, they often gain broad access to internal resources.

This design reflects an older security philosophy: once inside the network perimeter, users are largely trusted.

In modern environments, this approach introduces unnecessary risk. If credentials are compromised, attackers who gain VPN access may inherit the same broad privileges as legitimate employees.

Security teams increasingly recognize that access should be granted based on identity, context, and need — not simply because someone has successfully connected to the network.

Distributed Workforces Stress Legacy Architectures

Remote and hybrid work models have further exposed the limitations of traditional VPN deployments. What was once a tool for occasional remote access has become a daily requirement for large portions of the workforce.

Employees now connect from homes, coworking spaces, hotels, and mobile networks. Devices vary widely in security posture and reliability. Routing all of these interactions through centralized VPN gateways adds complexity and increases the potential for disruption.

At the same time, modern workflows rely heavily on real — time collaboration tools and cloud services that expect direct, stable connections. VPN routing often conflicts with these expectations, creating friction that slows productivity.

The architecture simply wasn’t designed for this level of distribution.

Security and Performance Must Work Together

One of the biggest misconceptions in enterprise networking is that stronger security inevitably means slower performance. Traditional VPN models reinforced this idea by forcing traffic through centralized inspection points.

But security controls that degrade user experience rarely succeed in the long term. When employees feel that security tools slow them down, they naturally look for alternatives.

Modern secure connectivity models aim to eliminate this trade — off. By evaluating access closer to the user and the application, organizations can enforce security policies while maintaining high performance.

Instead of routing traffic through a single hub, intelligent systems distribute decision — making across multiple locations. This reduces latency, improves reliability, and allows security enforcement to adapt dynamically to changing conditions.

Rethinking Secure Access for the Cloud Era

The limitations of VPN architectures do not mean that secure remote access is no longer necessary. On the contrary, it is more critical than ever.

What must change is how that access is delivered.

Cloud — first environments require architectures that prioritize identity — based access, continuous verification, and direct connectivity to applications. Rather than extending the corporate network outward, modern systems focus on securely connecting users to the specific resources they need.

This shift reflects a broader transformation in enterprise security. The goal is no longer to protect a fixed network perimeter, but to manage trust across a dynamic ecosystem of users, devices, and services.

Conclusion: Moving Beyond the VPN Mindset

Virtual Private Networks played an essential role in the early evolution of secure remote access. But as enterprise infrastructure continues to shift toward cloud platforms and distributed workforces, the limitations of traditional VPN architectures are becoming increasingly clear.

Organizations that continue to rely solely on these models may find themselves struggling with performance bottlenecks, expanded attack surfaces, and user frustration.

The future of secure connectivity lies in approaches that combine strong identity verification, contextual access controls, and distributed enforcement points closer to users and applications.

Forward — thinking innovators, including companies like Cloudbrink, are already exploring ways to deliver high — performance secure access without relying on legacy VPN architectures. As the enterprise network continues to evolve, the organizations that adapt their connectivity strategies will be better positioned to support both security and productivity in a cloud — first world.

Graham Melville is VP of Marketing at Cloudbrink

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5 Reasons Traditional VPNs Struggle in a Cloud-First World

Graham Melville
Cloudbrink

VPNs Were Built for a Different Internet

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today. Most applications lived inside company data centers, employees worked primarily from offices, and remote access was the exception rather than the rule.

VPNs solved a specific problem: allowing external users to connect securely to the corporate network. Once connected, employees could access internal applications as if they were physically present in the office.

For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity.

In a cloud — first world, that assumption no longer holds.

Applications Have Moved Beyond the Corporate Network

One of the most significant shifts in enterprise IT has been the migration of applications to cloud platforms and SaaS environments. Tools that once ran in corporate data centers now live in distributed infrastructure operated by cloud providers.

When employees access these applications, they often connect directly over the internet rather than through internal corporate systems. Yet many organizations still route that traffic through VPN gateways designed to funnel connections back into the corporate network first.

This detour introduces inefficiencies. Traffic may travel hundreds or thousands of extra miles before reaching its destination, adding latency and complexity to what should be a straightforward connection.

The result is a mismatch between how networks are designed and how modern applications are actually used.

Centralized Gateways Create Performance Bottlenecks

Traditional VPN architectures rely on centralized gateways to authenticate users and route traffic. These gateways become choke points as remote work and cloud usage expand.

When large numbers of users connect simultaneously, performance can degrade. Latency increases, throughput declines, and application responsiveness suffers.

This issue becomes especially noticeable for collaboration platforms, cloud — based development tools, and data — intensive applications that require consistent, low — latency connectivity.

Employees may not understand the technical cause, but they feel the impact immediately. Slow connections, dropped sessions, and inconsistent performance quickly erode confidence in the network.

In many cases, users begin seeking ways to bypass the VPN entirely.

VPNs Assume Trust Once a User Connects

Another challenge with traditional VPN models is the way they establish trust. After a user authenticates and joins the corporate network, they often gain broad access to internal resources.

This design reflects an older security philosophy: once inside the network perimeter, users are largely trusted.

In modern environments, this approach introduces unnecessary risk. If credentials are compromised, attackers who gain VPN access may inherit the same broad privileges as legitimate employees.

Security teams increasingly recognize that access should be granted based on identity, context, and need — not simply because someone has successfully connected to the network.

Distributed Workforces Stress Legacy Architectures

Remote and hybrid work models have further exposed the limitations of traditional VPN deployments. What was once a tool for occasional remote access has become a daily requirement for large portions of the workforce.

Employees now connect from homes, coworking spaces, hotels, and mobile networks. Devices vary widely in security posture and reliability. Routing all of these interactions through centralized VPN gateways adds complexity and increases the potential for disruption.

At the same time, modern workflows rely heavily on real — time collaboration tools and cloud services that expect direct, stable connections. VPN routing often conflicts with these expectations, creating friction that slows productivity.

The architecture simply wasn’t designed for this level of distribution.

Security and Performance Must Work Together

One of the biggest misconceptions in enterprise networking is that stronger security inevitably means slower performance. Traditional VPN models reinforced this idea by forcing traffic through centralized inspection points.

But security controls that degrade user experience rarely succeed in the long term. When employees feel that security tools slow them down, they naturally look for alternatives.

Modern secure connectivity models aim to eliminate this trade — off. By evaluating access closer to the user and the application, organizations can enforce security policies while maintaining high performance.

Instead of routing traffic through a single hub, intelligent systems distribute decision — making across multiple locations. This reduces latency, improves reliability, and allows security enforcement to adapt dynamically to changing conditions.

Rethinking Secure Access for the Cloud Era

The limitations of VPN architectures do not mean that secure remote access is no longer necessary. On the contrary, it is more critical than ever.

What must change is how that access is delivered.

Cloud — first environments require architectures that prioritize identity — based access, continuous verification, and direct connectivity to applications. Rather than extending the corporate network outward, modern systems focus on securely connecting users to the specific resources they need.

This shift reflects a broader transformation in enterprise security. The goal is no longer to protect a fixed network perimeter, but to manage trust across a dynamic ecosystem of users, devices, and services.

Conclusion: Moving Beyond the VPN Mindset

Virtual Private Networks played an essential role in the early evolution of secure remote access. But as enterprise infrastructure continues to shift toward cloud platforms and distributed workforces, the limitations of traditional VPN architectures are becoming increasingly clear.

Organizations that continue to rely solely on these models may find themselves struggling with performance bottlenecks, expanded attack surfaces, and user frustration.

The future of secure connectivity lies in approaches that combine strong identity verification, contextual access controls, and distributed enforcement points closer to users and applications.

Forward — thinking innovators, including companies like Cloudbrink, are already exploring ways to deliver high — performance secure access without relying on legacy VPN architectures. As the enterprise network continues to evolve, the organizations that adapt their connectivity strategies will be better positioned to support both security and productivity in a cloud — first world.

Graham Melville is VP of Marketing at Cloudbrink

Hot Topics

The Latest

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 ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...