Skip to main content

Gartner: Cloud Computing Remains Top Emerging Business Risk

Cloud computing ranks as the top risk concern for executives in risk, audit, finance and compliance, according to the latest survey by Gartner, Inc. While cloud computing presents organizations with novel opportunities, a number of new risks — including cybersecurity disclosure and General Data Protection Regulation (GDPR) compliance — make cloud solutions susceptible to unexpected security threats.

In Gartner’s latest quarterly Emerging Risks Report, 110 senior executives in risk, audit, finance and compliance at large global organizations identified cloud computing as the top concern for the second consecutive quarter.

Additional information security risks, such as cybersecurity disclosure and GDPR compliance, ranked among the top five concerns of the executives surveyed.

The top two fast-moving, high-impact risks — those which have the ability to cripple an organization quickly — are also related to information security threats. Social engineering and GDPR compliance were cited as most likely to cause the greatest enterprise damage if not adequately addressed by risk management leaders, according to Gartner. However, only 18 percent of the cross-functional executives surveyed currently considered social engineering to be a significant enterprise risk.

Through 2022, at least 95 percent of cloud security failures will be the fault of the organization

Executives should expect cybersecurity threats to affect organizations in unpredictable ways. Through 2022, at least 95 percent of cloud security failures will be the fault of the organization, according to Gartner. As more sophisticated tactics such as social engineering are engineered to compromise sensitive data, organizations should expand their cybersecurity team to address evolving digital risks.

“Executives are right to expand cloud services as part of their digital business initiatives, but they need to ensure their cloud security strategy keeps up with this growth,” said Matthew Shinkman, Practice Leader at Gartner. “Leaders should start by clearly identifying their most at-risk areas, which remain obscure to many large organization leaders.”

Increased Adoption Brings New Risks

Gartner forecasts cloud computing to be a $300 billion business by 2021

Gartner forecasts cloud computing to be a $300 billion business by 2021, as companies increasingly adopt cloud services to realize their desired digital business outcomes. Through the use of cloud services, cloud computing provides the speed and agility that digital business requires. Adopting the cloud can also result in significant cost savings and generate new sources of revenue.

Results from Gartner’s report, however, reveal that companies continue to struggle with security. Despite record spending on information security in the last two years, organizations have lost an estimated $400 billion to cyber theft and fraud worldwide. As cybersecurity events and data breaches increase, it is imperative that organizations elevate IT security to a board-level topic and an essential part of any solid digital business growth strategy.

“Executives should promote risk awareness throughout the organization,” Shinkman concluded. “A strong risk culture helps employees make the right decisions and mitigates poor outcomes.”

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...

Gartner: Cloud Computing Remains Top Emerging Business Risk

Cloud computing ranks as the top risk concern for executives in risk, audit, finance and compliance, according to the latest survey by Gartner, Inc. While cloud computing presents organizations with novel opportunities, a number of new risks — including cybersecurity disclosure and General Data Protection Regulation (GDPR) compliance — make cloud solutions susceptible to unexpected security threats.

In Gartner’s latest quarterly Emerging Risks Report, 110 senior executives in risk, audit, finance and compliance at large global organizations identified cloud computing as the top concern for the second consecutive quarter.

Additional information security risks, such as cybersecurity disclosure and GDPR compliance, ranked among the top five concerns of the executives surveyed.

The top two fast-moving, high-impact risks — those which have the ability to cripple an organization quickly — are also related to information security threats. Social engineering and GDPR compliance were cited as most likely to cause the greatest enterprise damage if not adequately addressed by risk management leaders, according to Gartner. However, only 18 percent of the cross-functional executives surveyed currently considered social engineering to be a significant enterprise risk.

Through 2022, at least 95 percent of cloud security failures will be the fault of the organization

Executives should expect cybersecurity threats to affect organizations in unpredictable ways. Through 2022, at least 95 percent of cloud security failures will be the fault of the organization, according to Gartner. As more sophisticated tactics such as social engineering are engineered to compromise sensitive data, organizations should expand their cybersecurity team to address evolving digital risks.

“Executives are right to expand cloud services as part of their digital business initiatives, but they need to ensure their cloud security strategy keeps up with this growth,” said Matthew Shinkman, Practice Leader at Gartner. “Leaders should start by clearly identifying their most at-risk areas, which remain obscure to many large organization leaders.”

Increased Adoption Brings New Risks

Gartner forecasts cloud computing to be a $300 billion business by 2021

Gartner forecasts cloud computing to be a $300 billion business by 2021, as companies increasingly adopt cloud services to realize their desired digital business outcomes. Through the use of cloud services, cloud computing provides the speed and agility that digital business requires. Adopting the cloud can also result in significant cost savings and generate new sources of revenue.

Results from Gartner’s report, however, reveal that companies continue to struggle with security. Despite record spending on information security in the last two years, organizations have lost an estimated $400 billion to cyber theft and fraud worldwide. As cybersecurity events and data breaches increase, it is imperative that organizations elevate IT security to a board-level topic and an essential part of any solid digital business growth strategy.

“Executives should promote risk awareness throughout the organization,” Shinkman concluded. “A strong risk culture helps employees make the right decisions and mitigates poor outcomes.”

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...