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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.”

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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

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...