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The Secure UX Enterprise - Part 1

Gabriel Lowy

In an age where a deeper understanding of customers is a competitive necessity, the inability to effectively correlate, analyze and act on all operational data represents a significant missed opportunity to improve decision outcomes and financial performance. Whether it is customers visiting your website, your employees engaging with them through a SaaS CRM application, an authorized executive accessing sensitive corporate data remotely, or an investor researching your investor relations site, secure UX (user experience) that meets the user's expectations is the hallmark of the secure UX enterprise.

It's time for IT Ops and security monitoring across the entire application delivery chain to converge around unified secure UX. As UX has become the primary driver of business performance and as security shifts from prevention to early detection and incident response, newer storage, processing and advanced analytics technologies not only make this convergence feasible, but essential.

Next to database, no technology investment is more strategic to the enterprise than a unified secure UX platform. IT Ops and security teams will need to cooperate and collaborate more effectively, leveraging operational data that achieves their respective and shared objectives.

Secure UX Drives ROI

Cloud, mobile and social megatrends show that secure UX is vital to the enterprise. As enterprises become increasingly software-defined and seek to get better returns on their digital assets with advanced analytics, more are recognizing that this is not attainable without secure UX.

Our study of the S&P 500 two years ago revealed that companies taking a strategic approach to application performance and UX outperform their peers in both financial and stock market performance. And they use 30% fewer tools to get the job done.

Secure UX directly correlates to the three components of ROI (return on investment):

1. Cost reduction

2. Productivity enhancement

3. Incremental revenue from new channels

Secure UX creates a virtuous cycle of improvement. The better your employees' user experience is the more engaged and productive they are. The better your customers' user experience is the stronger their satisfaction and loyalty to the company. The more secure the user experience is the higher user confidence is in the data they are accessing and sharing.

Secure UX will remain a key determinant and differentiator in the Internet of Things (IoT) era, as 40Gbps and 100Gbps networks become the norm and the definition of "user" expands to include machines. Gartner estimates a 35% CAGR of non-consumer IoT devices from 2013 to 2020, reaching an installed base of 25 billion.

Not Just ROI, But GRC as Well

But secure UX is also germane to meeting GRC (governance, regulatory, compliance) requirements and risk management objectives. Not having end-to-end visibility and intelligence into application and network performance and early detection of abnormal behavior puts companies at a competitive disadvantage.

Extended mean time to repair/resolution (MTTR) undermines employee engagement and customer satisfaction and loyalty. The cost of downtime for a business critical application can be upwards of $1 million per hour, depending on the industry.

It also exposes the company to cyber attacks. Rapid incident response becomes impossible, exacerbating risks while potentially costing the company extensive losses of sensitive data, fines for compliance violations and reputational damage.

The underbelly of modern distributed computing environments is growing regulatory oversight pertaining to systems efficacy and security. For example, industries such as healthcare and financial services are under increasing regulatory pressure to demonstrate systems efficacy and security for protecting sensitive personal information and resilience against market disruptions.

While regulations are nuanced to specific industries, the connectivity and interdependencies of systems are similar across all sectors. Regulators are increasingly focused on these relationships – and the underlying systems and applications – that comprise application delivery chains.

Secure UX can address a host of issues, including:

■ Verifying and troubleshooting questionable transactions

■ Analyzing overall application and network performance

■ Identifying vulnerable users, applications and network segments

■ Verifying performance of low-latency apps such as VoIP and video

■ Ensuring systems efficacy and compliance with GRC mandates

Increasing Complexity is the Principal Obstacle

The greatest barrier to consistently high performance is complexity. Because modern applications have so many connection points between the end user and the data center – often with multiple permission levels – performance issues can arise anywhere along the application delivery chain. Meanwhile, the traditional network perimeter has been erased as more on-premises workloads migrate to private and public clouds, and as more services, applications and data are born in the cloud.

The growth of containers and microservices, as well as the emerging IoT creates new risks that further test security governance with myriad connected devices and the associated big data challenges of machine-to-machine communication. This evolution combined with the unprecedented growth in the number of data sources – both internally and from outside the enterprise – significantly increases systems complexity. And as more users are engaging with these apps with their own mobile devices, often over public WiFi networks, complexity and risk rises further.

These trends create a multiplier effect for the amount of data available to attackers. They also marginalize the effectiveness of traditional network and perimeter security solutions, which were designed to prevent earlier generations of malware. Security teams recognize that the perimeter is too porous due to the explosion in devices, applications and data. They also recognize that people inside the perimeter are often the cause of security breaches. Insiders, unknowingly – or knowingly – either create holes that attackers can exploit or improperly release sensitive information.

Read The Secure UX Enterprise - Part 2

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 ...

The Secure UX Enterprise - Part 1

Gabriel Lowy

In an age where a deeper understanding of customers is a competitive necessity, the inability to effectively correlate, analyze and act on all operational data represents a significant missed opportunity to improve decision outcomes and financial performance. Whether it is customers visiting your website, your employees engaging with them through a SaaS CRM application, an authorized executive accessing sensitive corporate data remotely, or an investor researching your investor relations site, secure UX (user experience) that meets the user's expectations is the hallmark of the secure UX enterprise.

It's time for IT Ops and security monitoring across the entire application delivery chain to converge around unified secure UX. As UX has become the primary driver of business performance and as security shifts from prevention to early detection and incident response, newer storage, processing and advanced analytics technologies not only make this convergence feasible, but essential.

Next to database, no technology investment is more strategic to the enterprise than a unified secure UX platform. IT Ops and security teams will need to cooperate and collaborate more effectively, leveraging operational data that achieves their respective and shared objectives.

Secure UX Drives ROI

Cloud, mobile and social megatrends show that secure UX is vital to the enterprise. As enterprises become increasingly software-defined and seek to get better returns on their digital assets with advanced analytics, more are recognizing that this is not attainable without secure UX.

Our study of the S&P 500 two years ago revealed that companies taking a strategic approach to application performance and UX outperform their peers in both financial and stock market performance. And they use 30% fewer tools to get the job done.

Secure UX directly correlates to the three components of ROI (return on investment):

1. Cost reduction

2. Productivity enhancement

3. Incremental revenue from new channels

Secure UX creates a virtuous cycle of improvement. The better your employees' user experience is the more engaged and productive they are. The better your customers' user experience is the stronger their satisfaction and loyalty to the company. The more secure the user experience is the higher user confidence is in the data they are accessing and sharing.

Secure UX will remain a key determinant and differentiator in the Internet of Things (IoT) era, as 40Gbps and 100Gbps networks become the norm and the definition of "user" expands to include machines. Gartner estimates a 35% CAGR of non-consumer IoT devices from 2013 to 2020, reaching an installed base of 25 billion.

Not Just ROI, But GRC as Well

But secure UX is also germane to meeting GRC (governance, regulatory, compliance) requirements and risk management objectives. Not having end-to-end visibility and intelligence into application and network performance and early detection of abnormal behavior puts companies at a competitive disadvantage.

Extended mean time to repair/resolution (MTTR) undermines employee engagement and customer satisfaction and loyalty. The cost of downtime for a business critical application can be upwards of $1 million per hour, depending on the industry.

It also exposes the company to cyber attacks. Rapid incident response becomes impossible, exacerbating risks while potentially costing the company extensive losses of sensitive data, fines for compliance violations and reputational damage.

The underbelly of modern distributed computing environments is growing regulatory oversight pertaining to systems efficacy and security. For example, industries such as healthcare and financial services are under increasing regulatory pressure to demonstrate systems efficacy and security for protecting sensitive personal information and resilience against market disruptions.

While regulations are nuanced to specific industries, the connectivity and interdependencies of systems are similar across all sectors. Regulators are increasingly focused on these relationships – and the underlying systems and applications – that comprise application delivery chains.

Secure UX can address a host of issues, including:

■ Verifying and troubleshooting questionable transactions

■ Analyzing overall application and network performance

■ Identifying vulnerable users, applications and network segments

■ Verifying performance of low-latency apps such as VoIP and video

■ Ensuring systems efficacy and compliance with GRC mandates

Increasing Complexity is the Principal Obstacle

The greatest barrier to consistently high performance is complexity. Because modern applications have so many connection points between the end user and the data center – often with multiple permission levels – performance issues can arise anywhere along the application delivery chain. Meanwhile, the traditional network perimeter has been erased as more on-premises workloads migrate to private and public clouds, and as more services, applications and data are born in the cloud.

The growth of containers and microservices, as well as the emerging IoT creates new risks that further test security governance with myriad connected devices and the associated big data challenges of machine-to-machine communication. This evolution combined with the unprecedented growth in the number of data sources – both internally and from outside the enterprise – significantly increases systems complexity. And as more users are engaging with these apps with their own mobile devices, often over public WiFi networks, complexity and risk rises further.

These trends create a multiplier effect for the amount of data available to attackers. They also marginalize the effectiveness of traditional network and perimeter security solutions, which were designed to prevent earlier generations of malware. Security teams recognize that the perimeter is too porous due to the explosion in devices, applications and data. They also recognize that people inside the perimeter are often the cause of security breaches. Insiders, unknowingly – or knowingly – either create holes that attackers can exploit or improperly release sensitive information.

Read The Secure UX Enterprise - Part 2

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 ...