IT Leaders Take Steps to Improve Visibility into Their Attack Surface

Arthur Lozinski
Oomnitza

Hybrid and remote work environments have been growing significantly in the past few years. As individuals move away from traditional office settings in today's new remote and hybrid environments, many operational issues such as poor visibility into asset status and refreshes, unaccounted assets, and overspending on software are becoming a bigger challenge for IT departments. Due to the fact that individuals are utilizing their own devices, such as mobile phones, the attack surface has expanded as a result of the rise in popularity of remote work. With this happening throughout organizations, conventional IT asset discovery, lifecycle management, and security controls are challenged.

Oomnitza's Managing Enterprise Technology Blindspots survey examines how enterprises are managing their technology, what operational issues they are facing, and how the business is impacted by those. The report found that solely relying on siloed and diverse systems to manage different technologies, from endpoints and applications to network and cloud infrastructure, does not provide the integrated visibility, lifecycle control, or automation necessary to optimize resources and manage risk.

In fact, nearly 76% of businesses use multiple technologies to monitor business services, while at the same time, 71% anticipate more security breaches and increased operating expenditures.

Business Impacts of Siloed Systems

It is not uncommon for organizations to have a decentralized management system for different technologies and IT functions. However, as technologies evolve, so must IT departments by changing or adding to how they manage their technology systems to reduce the risk of security breaches and associated costs. Just under half (45%) of IT departments' wasted spend is on software and cloud services.

When digital enterprises consolidate technology assets from siloed systems into a single integrated view, it allows for optimization of technology spending, automation of governance processes to meet compliance and auditing requirements, and visibility of security risks. In this context, 43% of wasted time is spent tracking down technology assets, 32% have experienced slow onboarding, and 23% of enterprises highlighted compliance audit fines as one of the major burdens they face. With a disjointed technology management strategy, leaders are experiencing a significant financial impact on business operations.

Problems with Current Technology Management Recognized

Along with focusing on the management of technology assets, visibility, and operational blind spots, over half of the IT leaders surveyed (57%) are seeking unified and simplified technology visibility and a single source of truth. Having the ability to gain a holistic view of all assets through one reliable source is important to securing endpoints and gaining detailed information about the lifecycle of a device.

Often, IT staff do not have the systems in place to monitor employees' interactions with systems, the location of specific assets, and other key details in one centralized location. As a result, organizations are at a severe disadvantage, not only losing money on assets but also losing their competitive edge.

Additionally, lack of visibility, automation, and other limitations within today's current enterprise technology management landscape are recognized in the survey. More than half of respondents (52%) in the industry have plans to progress from conventional asset management to more modern approaches, and 11% of respondents already have projects underway.

Enhancing the Future of IT

Moving forward, traditional, disjointed, and unaligned systems will not be adequate for the leaders of the future.

Existing legacy IT Asset Management (ITAM) systems were designed for a vastly different working environment than the ones that exist currently. When IT can provide a single, integrated, and real-time source of truth across all technology assets, the benefits associated with it help the user and enterprise achieve measurable results. All of these factors result in improved business results, for example, cost reduction, risk mitigation, enhanced visibility, and increased productivity.

Arthur Lozinski is Co-Founder and CEO of Oomnitza

Related Links

Hot Topics

The Latest

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

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 ...

AI Deepfakes: Rethinking Trust in the Workplace

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 ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

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 ...

Why ITOps Need Right-Sized AI, Not Bigger Models

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 ...

The End of Reactive DevOps: AI-Driven Observability for Zero-Defect Digital Systems

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 ...

5 Takeaways from the Observability Forecast for Media and Entertainment

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 ...

Why Moving Off the Cloud Is the Easy Part and What Comes Next Is Where Things Get Hard

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 ...

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

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 ...

5 Security Principles Every Entrepreneur Should Apply to Leadership

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 ...

IT Leaders Take Steps to Improve Visibility into Their Attack Surface

Arthur Lozinski
Oomnitza

Hybrid and remote work environments have been growing significantly in the past few years. As individuals move away from traditional office settings in today's new remote and hybrid environments, many operational issues such as poor visibility into asset status and refreshes, unaccounted assets, and overspending on software are becoming a bigger challenge for IT departments. Due to the fact that individuals are utilizing their own devices, such as mobile phones, the attack surface has expanded as a result of the rise in popularity of remote work. With this happening throughout organizations, conventional IT asset discovery, lifecycle management, and security controls are challenged.

Oomnitza's Managing Enterprise Technology Blindspots survey examines how enterprises are managing their technology, what operational issues they are facing, and how the business is impacted by those. The report found that solely relying on siloed and diverse systems to manage different technologies, from endpoints and applications to network and cloud infrastructure, does not provide the integrated visibility, lifecycle control, or automation necessary to optimize resources and manage risk.

In fact, nearly 76% of businesses use multiple technologies to monitor business services, while at the same time, 71% anticipate more security breaches and increased operating expenditures.

Business Impacts of Siloed Systems

It is not uncommon for organizations to have a decentralized management system for different technologies and IT functions. However, as technologies evolve, so must IT departments by changing or adding to how they manage their technology systems to reduce the risk of security breaches and associated costs. Just under half (45%) of IT departments' wasted spend is on software and cloud services.

When digital enterprises consolidate technology assets from siloed systems into a single integrated view, it allows for optimization of technology spending, automation of governance processes to meet compliance and auditing requirements, and visibility of security risks. In this context, 43% of wasted time is spent tracking down technology assets, 32% have experienced slow onboarding, and 23% of enterprises highlighted compliance audit fines as one of the major burdens they face. With a disjointed technology management strategy, leaders are experiencing a significant financial impact on business operations.

Problems with Current Technology Management Recognized

Along with focusing on the management of technology assets, visibility, and operational blind spots, over half of the IT leaders surveyed (57%) are seeking unified and simplified technology visibility and a single source of truth. Having the ability to gain a holistic view of all assets through one reliable source is important to securing endpoints and gaining detailed information about the lifecycle of a device.

Often, IT staff do not have the systems in place to monitor employees' interactions with systems, the location of specific assets, and other key details in one centralized location. As a result, organizations are at a severe disadvantage, not only losing money on assets but also losing their competitive edge.

Additionally, lack of visibility, automation, and other limitations within today's current enterprise technology management landscape are recognized in the survey. More than half of respondents (52%) in the industry have plans to progress from conventional asset management to more modern approaches, and 11% of respondents already have projects underway.

Enhancing the Future of IT

Moving forward, traditional, disjointed, and unaligned systems will not be adequate for the leaders of the future.

Existing legacy IT Asset Management (ITAM) systems were designed for a vastly different working environment than the ones that exist currently. When IT can provide a single, integrated, and real-time source of truth across all technology assets, the benefits associated with it help the user and enterprise achieve measurable results. All of these factors result in improved business results, for example, cost reduction, risk mitigation, enhanced visibility, and increased productivity.

Arthur Lozinski is Co-Founder and CEO of Oomnitza

Related Links

Hot Topics

The Latest

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

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 ...

AI Deepfakes: Rethinking Trust in the Workplace

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 ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

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 ...

Why ITOps Need Right-Sized AI, Not Bigger Models

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 ...

The End of Reactive DevOps: AI-Driven Observability for Zero-Defect Digital Systems

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 ...

5 Takeaways from the Observability Forecast for Media and Entertainment

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 ...

Why Moving Off the Cloud Is the Easy Part and What Comes Next Is Where Things Get Hard

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 ...

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

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 ...

5 Security Principles Every Entrepreneur Should Apply to Leadership

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 ...