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Execs Turn to AI and Machine Learning for Security

Carl Herberger

Executives in the US and Europe now place broad trust in Artificial Intelligence (AI) and machine learning systems, designed to protect organizations from more dynamic pernicious cyber threats, according to Radware's 2017 Executive Application & Network Security Survey.

This year’s research revealed important global trends as well as intriguing perceptions and nuances among US and European executives. Among the findings of the 2017 executive survey:

Adoption of AI/Machine Learning

This year’s executive survey supports the assertion that security automation has now reached an inflection point — with about four in five (81 percent) of the executives reported having already or recently implemented more reliance on automated solutions. Over half (57 percent) of executives report trusting automated systems as much or more than humans to protect their organizations. Two in five (38 percent) executives indicated that within two years, automated security systems would be the primary resource for managing cyber security.

“Businesses have to fight fire with fire,” said Carl Herberger, VP of Security Solutions at Radware. “Today’s threat actors continue to build highly automated and adaptive tools, like the Marai and Hajime botnets. These attacks can wreak catastrophic damage to a network. Executives that aren’t yet fighting these new dynamic threats with continuously adaptive attack detection and mitigation capabilities are putting their organization at risk.”

Security is a Board-Level Concern

A majority of respondents (85 percent) said that security threats are a CEO- or board-level concern in their company. Among all respondents, 94 percent told us that security is an extremely or very important priority. About three in five (62 percent) rate it “extremely important,” marking a slight increase from last year, when just 53 percent did so.

Security is a Main Driver for Digital Transformation

This year’s survey respondents affirmed that their organizations are actively integrating digital technologies — and that cyber security is the number-one driver of their digital transformation. Nearly half of all executives (47 percent) cited improving information security as a major goal of their digital transformation. What’s more, for three-quarters of organizations, cyber-security considerations were critical in shaping decisions to transform aspects of the business to digital.

The Next Likely Targets

Executives believe that the biggest security threats in the next three to five years are network infrastructure (27 percent) followed by Internet of Things (IoT) (22 percent) devices and Energy/Power Infrastructure (21 percent).

Executives’ Biggest Concern During a Cyberattack? Their Customers

Chief among executives’ worries about cyber-attacks is a negative customer experience, which 39 percent of executives ranked as the top impact to their business from a security threat. Brand reputation loss (36 percent) was close behind, followed by operational and customer loss (both 29 percent) and revenue loss (34 percent).

“Executives are scrutinizing the gaps in their security like never before, taking a more active approach to defending their customer experience and avoiding the brand damage that hackers can cause,” said Anna Convery-Pelletier, CMO at Radware. “Today’s educated consumer is keenly aware of security — as customer experience is now closely tied with reputation management and data protection. Consumers therefore use these critical parameters as the basis for their decision to do business with a company.”

Executives Do Not Believe Their Governments Do Enough to Protect Consumer Privacy

Executives around the world agree that government plays a role in compromising digital security. Two-thirds of executives (67 percent) agree that current laws and legislation related to information security compromise individual privacy, and 79 percent of executives feel their government should do more to protect personal information.

European Executives Are More Likely to Hire Ex-Hackers than Their US Counterparts

In Europe, 58 percent said they were very or extremely likely to do so, while just 27 percent of US executives said the same. One-quarter of U.S. executives said their company was not very likely to hire former hackers, and 36% said their organization was somewhat likely to do so.

Methodology: On behalf of Radware, Merrill Research surveyed 200 executives — 100 in the US and 100 in Europe in April 2017. To participate in the 2017 Executive Application & Network Security respondents were required to be at company with at least $250 million (or equivalent) in revenue and hold a title of senior vice president level or higher. By design, the survey required at least half respondents to be C-level executives, though this year’s research attracted far more top-ranking corporate leaders. About half of the companies in the survey have 1,000 to 9,999 employees, averaging about 4,600. US respondents included a few more companies with less than 1,000 employees, but no other significant differences in terms of number of employees.

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Execs Turn to AI and Machine Learning for Security

Carl Herberger

Executives in the US and Europe now place broad trust in Artificial Intelligence (AI) and machine learning systems, designed to protect organizations from more dynamic pernicious cyber threats, according to Radware's 2017 Executive Application & Network Security Survey.

This year’s research revealed important global trends as well as intriguing perceptions and nuances among US and European executives. Among the findings of the 2017 executive survey:

Adoption of AI/Machine Learning

This year’s executive survey supports the assertion that security automation has now reached an inflection point — with about four in five (81 percent) of the executives reported having already or recently implemented more reliance on automated solutions. Over half (57 percent) of executives report trusting automated systems as much or more than humans to protect their organizations. Two in five (38 percent) executives indicated that within two years, automated security systems would be the primary resource for managing cyber security.

“Businesses have to fight fire with fire,” said Carl Herberger, VP of Security Solutions at Radware. “Today’s threat actors continue to build highly automated and adaptive tools, like the Marai and Hajime botnets. These attacks can wreak catastrophic damage to a network. Executives that aren’t yet fighting these new dynamic threats with continuously adaptive attack detection and mitigation capabilities are putting their organization at risk.”

Security is a Board-Level Concern

A majority of respondents (85 percent) said that security threats are a CEO- or board-level concern in their company. Among all respondents, 94 percent told us that security is an extremely or very important priority. About three in five (62 percent) rate it “extremely important,” marking a slight increase from last year, when just 53 percent did so.

Security is a Main Driver for Digital Transformation

This year’s survey respondents affirmed that their organizations are actively integrating digital technologies — and that cyber security is the number-one driver of their digital transformation. Nearly half of all executives (47 percent) cited improving information security as a major goal of their digital transformation. What’s more, for three-quarters of organizations, cyber-security considerations were critical in shaping decisions to transform aspects of the business to digital.

The Next Likely Targets

Executives believe that the biggest security threats in the next three to five years are network infrastructure (27 percent) followed by Internet of Things (IoT) (22 percent) devices and Energy/Power Infrastructure (21 percent).

Executives’ Biggest Concern During a Cyberattack? Their Customers

Chief among executives’ worries about cyber-attacks is a negative customer experience, which 39 percent of executives ranked as the top impact to their business from a security threat. Brand reputation loss (36 percent) was close behind, followed by operational and customer loss (both 29 percent) and revenue loss (34 percent).

“Executives are scrutinizing the gaps in their security like never before, taking a more active approach to defending their customer experience and avoiding the brand damage that hackers can cause,” said Anna Convery-Pelletier, CMO at Radware. “Today’s educated consumer is keenly aware of security — as customer experience is now closely tied with reputation management and data protection. Consumers therefore use these critical parameters as the basis for their decision to do business with a company.”

Executives Do Not Believe Their Governments Do Enough to Protect Consumer Privacy

Executives around the world agree that government plays a role in compromising digital security. Two-thirds of executives (67 percent) agree that current laws and legislation related to information security compromise individual privacy, and 79 percent of executives feel their government should do more to protect personal information.

European Executives Are More Likely to Hire Ex-Hackers than Their US Counterparts

In Europe, 58 percent said they were very or extremely likely to do so, while just 27 percent of US executives said the same. One-quarter of U.S. executives said their company was not very likely to hire former hackers, and 36% said their organization was somewhat likely to do so.

Methodology: On behalf of Radware, Merrill Research surveyed 200 executives — 100 in the US and 100 in Europe in April 2017. To participate in the 2017 Executive Application & Network Security respondents were required to be at company with at least $250 million (or equivalent) in revenue and hold a title of senior vice president level or higher. By design, the survey required at least half respondents to be C-level executives, though this year’s research attracted far more top-ranking corporate leaders. About half of the companies in the survey have 1,000 to 9,999 employees, averaging about 4,600. US respondents included a few more companies with less than 1,000 employees, but no other significant differences in terms of number of employees.

Hot Topics

The Latest

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 ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.