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Enterprise Security Magazine | Friday, November 30, 2018
With the espousal of cloud, security has always been a critical consideration at every stage of cloud adoption cycle. Before the cloud, when organizations had an on-premise server room, they had control over the security that was maintained by using fundamental cybersecurity software and robust policies. However, with the growing demand for storage, network, and cost-effective services, cloud became the need of the hour.
The need for better performance and flexibility made cloud famous, but the involved security was often an afterthought without strategic approaches. Many companies assumed that their service provider would shoulder the responsibility of security surrounding the cloud migration. For such reasons, security was not on the priority list of the organizations.
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The lack of prioritization for the security of the cloud proved to be an ineffective strategy for AWS. The misconfigured AWS S3 cloud storage put the sensitive data at risk, compromising the security of several companies including Accenture, Australian Broadcasting Corporation (ABC), and the U.S. Army, who have all experienced data leaks. Irrespective of the different cloud services being used, it quickly became clear that companies needed to employ all means necessary to protect their data.
With cloud being leveraged worldwide, its increasing adoption is unstoppable. However, security needs a more strategic approach that seamlessly secures complex infrastructures and cloud configurations. When it comes to the hybrid cloud, there is no "one-size-fits-all" security fix as there was once with on-premise server room. No matter whether the cloud model is private, public or hybrid, having visibility into the data and services of your organization is the first step towards protecting that business. After making the first step clear, companies must ensure that each part of the cloud infrastructure has its own set of security measures; doing so will safeguard their business from cyber attacks.
Cyber attacks will continue to grow and affect critical data irrespective of where it is stored. Only by deploying security measures that utilize a blend of machine learning (ML) and up-to-date threat intelligence, organizations can ensure high-level protection for their IT environment.
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