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UK firms ‘have limited awareness’ of cloud native security



A padlock on a shed.

Around a third of companies say that between 50-75% of their apps are cloud native, yet 20% have no cloud native security strategy in place.

This is according to a study by Aqua Security, which also found that 68.3% of respondents to its survey also admit that they are not familiar with the term CNAPP (Cloud Native Application Platform Protection), the cloud native security concept introduced by analyst firm, Gartner.

Paul Calatayud, CISO at Aqua Security, said: “As more and more applications are built and run in the cloud, it’s no surprise that we’re seeing threat actors shift their focus to target cloud native environments. This demands a new approach to security. Many organisations in the UK are beginning to understand that cloud native security is not just a ‘nice to have’, but there is a clear need for more education in the UK and beyond.”

When asked about their overall cybersecurity priorities, nearly a third of UK firms (29.8%) said that cloud native application security is a critical cloud security priority – more important than SaaS Apps (20.2%) and Identity & Access Management (28.8%). However, despite this nearly half of respondents (44%) rely on ‘free’ security offerings from their cloud providers which do not deliver the visibility and control needed to minimise cloud native application risk.

When questioned about worries they had relating to cloud native security, 49% said their limited understanding of the risks, and lack of knowledge were among the highest areas of concern. Other areas of concern included limited or no budget (53%), integration with existing tools and insufficient staffing (both at 42.3%).

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Respondents’ overall lack of awareness about cloud native security is underpinned by the fact that less than a third of respondents (32.7%) consider cloud misconfigurations to be their biggest security concern. Malware attacks (54%), social engineering and phishing attacks (56.7%) and insider threats (32.9%) were considered riskier.

When it comes to who is responsible for cloud native security within an organisation, the majority (55.8%) stated that this sits with the IT security teams. Only around a fifth of respondents (20.5%) attributed cloud native responsibility to DevOps and Security combined teams.


Calatayud said: “Questions around risks and responsibility illustrate the confusion around cloud native. It is projected that cloud native will support more than 90 percent of new digital initiatives by 2025, so we’re at a critical point where cloud native security must be prioritised by both the security and DevOps teams. Traditional tools are simply not effective, and organisations must seek out solutions that will stop cloud native attacks at every level.”

Want to learn more about cloud and cyber security from industry leaders? Check out Cyber Security & Cloud Expo. The next events in the series will be held in Santa Clara on 11-12 May 2022, Amsterdam on 20-21 September 2022, and London on 1-2 December 2022. 

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Artificial Intelligence in the 4th Industrial Revolution



Artificial Intelligence in the 4th Industrial Revolution

Artificial intelligence is providing disruptive changes in the 4th industrial revolution (Industry 4.0) by increasing interconnectivity and smart automation.

Industry 4.0 is revolutionizing the way companies manufacture, improve and distribute their products. 

What Makes Artificial Intelligence Unique?

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.

It allows computers to think and behave like humans, but at much faster speeds and with much more processing power than the human brain can produce.

AI offers advantages of new and innovative services, and the potential to improve scale, speed and accuracy. 


There are 3 types of artificial intelligence:

  • Artificial narrow intelligence (ANI), which has a narrow range of abilities.

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  • Artificial general intelligence (AGI), which is on par with human capabilities.

  • Artificial superintelligence (ASI), which is more capable than a human.


Artificial intelligence can also be classified as weak or strong. 

Weak AI refers to systems that are programmed to accomplish a wide range of problems but operate within a predetermined or pre-defined range of functions. Strong AI, on the other hand, refers to machines that exhibit human intelligence.


Artificial intelligence has several subsets:

Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing.

What is the Fourth Industrial Revolution?


The Fourth Industrial Revolution is the current and developing environment in which disruptive technologies and trends such as the Internet of Things (IoT), robotics, virtual reality (VR) and artificial intelligence (AI) are changing the way modern people live and work. The integration of these technologies into manufacturing practices is known as Industry 4.0. 

The first industrial revolution used water and steam power to mechanize production.

The second used electric power to create mass production.


The third used electronics and information technology to automate production.


The fourth Industrial revolution is characterized by a fusion of technologies that is blurring the lines between the physical, digital, and biological spheres, with rising emerging technologies, as real AI, Narrow AI/ML/DL, robotics, automation, materials science, energy storage, the Internet of Things, autonomous vehicles, 3-D printing, nanotechnology, biotechnology, neurotechnology, cognitive technology, and quantum computing. It implies radical disruptions to everything, industries, jobs, works, technologies, and old human conditions. In its scale, scope, complexity, and impact, the AI transformation will be unlike anything humankind has experienced before.

The Role of Artificial Intelligence in the 4th Industrial Revolution

Artificial intelligence is making companies make the best use of practical experience, even displacing traditional labor and becoming the productive factor itself. 

It offers entirely new paths towards growth for manufacturing, service, and other industries, reshaping the world economy and bringing new opportunities for our societal development.

As AI begins to impact the workforce and automation replaces some existing skills, we’re seeing an increased need for emotional intelligence, creativity, and critical thinking.

Zvika Krieger, co-leader of the World Economic Forum’s Center for the Fourth Industrial Revolution.

Deploying AI requires a kind of reboot in the way companies think about privacy and security, As data becomes the currency of our digital lives, companies must ensure the privacy and security of customer information.

Businesses will need to ensure they have the right mix of skills in their workforce to keep pace with changing technology. 


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