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2019 Prediction: Enterprises Will Use AI to Replace VPNs with Micro-Perimeters to Optimize Hybrid Cloud Application Performance

Don Boxley

Many enterprises are pursuing a hybrid IT strategy involving integrated on-premises systems and off-premises cloud/hosted resources. This pursuit will create application performance issues stemming from one key area: leveraging the public internet.

For enterprises the public Internet is both a boon and a danger. The public Internet's global reach offers an easy and cost-effective means for engaging large numbers of customers, regardless of location. However, using the public internet to connect users with business-critical workloads brings risks.

Businesses survive on speed. Customers don't like to wait, and each moment waiting has real revenue implications. Companies investing heavily in hybrid IT strategy around enterprise applications are making these investments to gain an edge, but these investments will only deliver a positive return if the applications are able to run at maximum performance allowed.

As an access path to the cloud, the performance of the public Internet can be limited by traffic and throughput impediments, which can impact the effectiveness of workloads right at peak load times. If enterprise applications struggle to deal with peak loads, this can result in the business suffering revenue loss, damage to their reputation and failing to meet the objectives of moving to a hybrid cloud strategy.

This performance issue can become even more severe as an organization seeks to improve network security by adding secure connectivity in order to reduce security exposure via the public internet by using traditional VPNs, which can cut throughput in half. But traditional VPN software solutions are obsolete for the new IT reality of hybrid and multi-cloud. They weren't designed for them. They're complex to configure, not performant, and they give users a "slice of the network," creating a lateral network attack surface.

A new class of purpose-built security software is emerging to eliminate these issues and disrupt the cloud VPN market. This new security software will enable organizations to build lightweight dynamic micro-perimeters to secure their application- and workload-centric connections between on-premises and cloud/hosted environments, with virtually no attack surface and without the performance issues of VPNs.

Because of the ease of use this new class of security software organizations will utilize at 1-2-3-100+ deployment strategy. That is, they'll deploy micro-perimeters for workload #1. Satisfied it meets the performance and security requirements, they'll deploy micro-perimeters for workload #2, and then deploy for workload #3. At that point, the organization will require micro-perimeters for every application, which could be 100s of workloads with thousands of users. This is the point organizations will turn to artificial intelligence (AI). This is where organizations will leverage their learnings in artificial intelligence to find products that can automate, manage and simplify the machine learning (ML) for each enterprise application's unique connectivity network to map out the optimal deployment of micro-perimeters. This deployment plan will enable organizations to aggressively implement micro-perimeters with the eventual goal of the AI engine deploying and updating micro-perimeters automatically.

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IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

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In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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2019 Prediction: Enterprises Will Use AI to Replace VPNs with Micro-Perimeters to Optimize Hybrid Cloud Application Performance

Don Boxley

Many enterprises are pursuing a hybrid IT strategy involving integrated on-premises systems and off-premises cloud/hosted resources. This pursuit will create application performance issues stemming from one key area: leveraging the public internet.

For enterprises the public Internet is both a boon and a danger. The public Internet's global reach offers an easy and cost-effective means for engaging large numbers of customers, regardless of location. However, using the public internet to connect users with business-critical workloads brings risks.

Businesses survive on speed. Customers don't like to wait, and each moment waiting has real revenue implications. Companies investing heavily in hybrid IT strategy around enterprise applications are making these investments to gain an edge, but these investments will only deliver a positive return if the applications are able to run at maximum performance allowed.

As an access path to the cloud, the performance of the public Internet can be limited by traffic and throughput impediments, which can impact the effectiveness of workloads right at peak load times. If enterprise applications struggle to deal with peak loads, this can result in the business suffering revenue loss, damage to their reputation and failing to meet the objectives of moving to a hybrid cloud strategy.

This performance issue can become even more severe as an organization seeks to improve network security by adding secure connectivity in order to reduce security exposure via the public internet by using traditional VPNs, which can cut throughput in half. But traditional VPN software solutions are obsolete for the new IT reality of hybrid and multi-cloud. They weren't designed for them. They're complex to configure, not performant, and they give users a "slice of the network," creating a lateral network attack surface.

A new class of purpose-built security software is emerging to eliminate these issues and disrupt the cloud VPN market. This new security software will enable organizations to build lightweight dynamic micro-perimeters to secure their application- and workload-centric connections between on-premises and cloud/hosted environments, with virtually no attack surface and without the performance issues of VPNs.

Because of the ease of use this new class of security software organizations will utilize at 1-2-3-100+ deployment strategy. That is, they'll deploy micro-perimeters for workload #1. Satisfied it meets the performance and security requirements, they'll deploy micro-perimeters for workload #2, and then deploy for workload #3. At that point, the organization will require micro-perimeters for every application, which could be 100s of workloads with thousands of users. This is the point organizations will turn to artificial intelligence (AI). This is where organizations will leverage their learnings in artificial intelligence to find products that can automate, manage and simplify the machine learning (ML) for each enterprise application's unique connectivity network to map out the optimal deployment of micro-perimeters. This deployment plan will enable organizations to aggressively implement micro-perimeters with the eventual goal of the AI engine deploying and updating micro-perimeters automatically.

Hot Topics

The Latest

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...