Digital adoption is on all time high and cloud computing is emerging as a game changer and major enabler, across areas. Integrating cloud into your existing enterprise security program requires an assessment of your resources and business needs to develop a fresh approach to your culture and cloud security strategy. Cloud security is a set of policies, controls, procedures and technologies that should work together to protect your cloud-based applications and systems. From facilitating video conferencing for hybrid workplaces and empowering smart connected devices to helping accelerated growth of AI and ML through data driven insights, Cloud Computing has come a very long way from being just a virtual data storage platform. With increasing significance of Data, Cloud computing too is fast gaining importance among both, consumers as well as software and product development companies. And while these exciting new innovations powered by Cloud continue to disrupt various sectors across the globe, it is the silent yet powerful emergence of cloud as a potential enabler to fight of phishing and cybercrimes in the digital world.
Cybersecurity and regulatory compliance became the top two biggest concerns of corporate boards, some are adding cybersecurity experts specifically to scrutinize security and risk issues. It is ironic to note here that data security remained one of the chief concerns for businesses who hesitated the shift to cloud a few years ago. And now the same technology solution is helping to not just combat cybercrime but also became a potential platform that can empower other technologies like AI and ML to detect and prevent cybercrimes. As the new normal takes shape, all organizations will need an always-connected defensive posture, and clarity on what business risks remote users elevate to remain secure. The need of the hour is the brands and businesses seeking to ensure a safer cloud computing experience, need to also ensure that they work .
Digital adoption is on all time high and cloud computing is emerging as a game changer and major enabler, across areas. Integrating cloud into your existing enterprise security program requires an assessment of your resources and business needs to develop a fresh approach to your culture and cloud security strategy. Cloud security is a set of policies, controls, procedures and technologies that should work together to protect your cloud-based applications and systems. From facilitating video conferencing for hybrid workplaces and empowering smart connected devices to helping accelerated growth of AI and ML through data driven insights, Cloud Computing has come a very long way from being just a virtual data storage platform. With increasing significance of Data, Cloud computing too is fast gaining importance among both, consumers as well as software and product development companies. And while these exciting new innovations powered by Cloud continue to disrupt various sectors across the globe, it is the silent yet powerful emergence of cloud as a potential enabler to fight of phishing and cybercrimes in the digital world.
Cybersecurity and regulatory compliance became the top two biggest concerns of corporate boards, some are adding cybersecurity experts specifically to scrutinize security and risk issues. It is ironic to note here that data security remained one of the chief concerns for businesses who hesitated the shift to cloud a few years ago. And now the same technology solution is helping to not just combat cybercrime but also became a potential platform that can empower other technologies like AI and ML to detect and prevent cybercrimes. As the new normal takes shape, all organizations will need an always-connected defensive posture, and clarity on what business risks remote users elevate to remain secure. The need of the hour is the brands and businesses seeking to ensure a safer cloud computing experience, need to also ensure that they work
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Is Edge computing the most secure computing?
Is Edge computing the most secure computing?
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There is a continued dialogue among (Cloud Vs Edge), on who will overtake whom. The future of edge computing is right around the corner. Experts feel that it has the power to protect the climate, improve our health, and squash road rage. However, even though cloud-based computing is great for many things, there are some drawbacks.
IDC forecasts the global edge computing market to reach $250 billion by 2024, with a compounded annual growth of 12.5%. No wonder the industry is talking about Edge Computing.
#Edgecomputing reclaims much of the storage and power that cloud computing took on over the years. Businesses are always trying to improve the reliability and performance of their software for users, while at the same time trying to reduce their own costs. We have seen how CDNs (content delivery networks) are an early form of edge software, with companies originally serving static content from locations closer to their users. The rise of CDNs has made it easier to roll out your entire application as close to your users as possible.
Edge computing is one of the 'new revolutionary technologies' that can change organizations wanting to break free from previous limitations of traditional cloud-based networks. The next 12-18 months will prove to be the natural inflection for edge computing. Practical applications are finally emerging where this architecture can bring real benefits.
91% of our data today is created and processed in centralized data centres. Cloud computing will continue to contribute to businesses regarding cost optimization, agility, resiliency, and innovation catalyst. But in the future, the 'Internet of Behaviours (IoB)' will power the next level of growth with endless new possibilities to re-imagine the products & services, user experiences, and operational excellence.
IoT, IIoT, AI, ML, Digital Twin, and Edge computing are at the core of the Internet of Behaviours. As per Gartner
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#Ransomware attacks have continued to dominate headlines, and they’re constantly becoming more sophisticated. Cybercriminals are doing supply chain attacks to tamper with the manufacturing processes of a company either by hardware or software. Malware could be installed in any stage of the supply chain.
#Cloudcomputing in itself has seen multiple vulnerabilities in recent times – and as organizations continue to adopt the cloud, with 35% running more than 50% of their workloads on the likes of Azure, AWS and GCP, they struggle to manage the complexity of securing their cloud infrastructures across multiple cloud platforms, while also suffering a cyber-skills and knowledge shortage.
The industry has seen an increasing number of cyber-attacks that leverage weak supply chain methodologies. Currently, the most prominent supply chain risk that organizations are exposed to comes from open-source software. The open-source community provides many modules and packages that are regularly adopted by businesses across the world, including those within your supply chain.
The problem with open-source, however, is that it is inherently insecure. That is in part because it is written by individuals who may lack the expertise or budget to make them completely safe. The other issue with open-source code comes down to ownership. With this, cybercriminals have begun to exploit critical vulnerabilities in cloud providers to gain access to corporate environments.
So far, in 2022, we have seen a seismic shift in the cloud threat landscape as more and more threat actors target critical vulnerabilities in both cloud providers and supply chains.
Unfortunately, when it comes to your cloud provider, no matter who you choose, their platform will have vulnerabilities. You could conduct all the research in the world and call on the know-how of the industry's best experts, but you cannot control the security of your chosen provider's platform.
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When #CloudComplexity is Reaching a Tipping Point, at the same time, Data complexity has reached a boiling point for companies globally, and tech executives are feeling the pressure to simplify to make it a business growth driver. This complexity is a result of both technical challenges like data mobility between clouds and organisational challenges like cost management, and the need for a clear cloud strategy.
The exponential growth of data in recent years has resulted in a significant increase in data complexity, which has reached a boiling point for many organizations. Data complexity refers to the challenges that organizations face in managing and analyzing data that is diverse, distributed, and voluminous.
These challenges vary market to market but are lower in India compared to most of the world. Top challenges globally include data mobility, vision for cloud strategy, security risks, and cost.
Cloud computing has undoubtedly transformed the way businesses operate, enabling them to scale rapidly, reduce costs, and increase agility. However, as more companies adopt cloud technology, the complexity of managing it is becoming increasingly challenging, and many organizations are struggling to keep up.
Today's Headline in NewsHours
0:00 Intro
3:15 #PhonePe calls off deal to acquire BNPL platform ZestMoney
3:47 India to unveil its new Foreign Trade Policy on Friday
4:20 Ajay Banga poised to become the unopposed chief of World Bank
4:52 India calls for funding digital payments infrastructure at G-20 Sherpas' meeting
5:30 #Meta discloses pricing for blue tick on Facebook, Instagram in India
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Cloud computing and Software as a Service (SaaS) adalah suatu layanan yang dibentuk dalam suatu perangkat lunak. SaaS bertujuan memberi kemudahan bagi para pengembang aplikasi berbasis web yang akan digunakan pelanggannya dengan koneksi internet. Bagaimana cara kerja SaaS?
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