As more and more businesses and individuals choose to store their data online, ensuring the safety of information is becoming exceptionally crucial. According to recent statistics from the Hosting Tribunal, over 95% of IT professionals use cloud storage. This number is expected to grow steadily.

Internxt is a little different than your average cloud service. Our secure storage was designed from the ground up with the user and their privacy in mind. To do this, we’ve built our service for Web3, which means the information we encrypt and store is decentralized and our business model has nothing to do with selling data.

As organizations deploy more and more cloud native workloads, the ability to protect them in a secure and cost-effective manner is becoming increasingly important. Data access is also more widely spread, making it even more critical to meet this protection need with a secure, logically air-gapped copy of that data.

If you’re reading this article, you’re probably either running a Kubernetes cluster or planning to run one. Whatever the case may be, you will most likely need to have a look at data—how to store it and how to secure it. There are different types of stored data in Kubernetes: In this article, we will review how to deal with each of these data types in a Kubernetes cluster.

Best practices for securing an AWS environment have been well-documented and generally accepted, such as AWS’s guidance. However, organizations may still find it challenging on how to begin applying this guidance to their specific environments. In this blog series, we’ll analyze anonymized data from Netskope customers that include security settings of 650,000 entities from 1,143 AWS accounts across several hundred organizations.

It’s time to update the list of security incidents caused by misconfiguration of cloud storage resources since the last couple of weeks have unfortunately been quite prolific. The shared responsibility model continues to be overlooked, or simply misunderstood by too many organizations, and as a consequence tons of sensitive data is leaked from the cloud on a daily basis, putting thousands of individuals (and dozens of municipalities) at risk of fraud, identity theft, and phishing campaigns.

In the last several years, companies have accelerated their cloud adoption and have invested time and resources to lift and shift their content, development and applications to public and private clouds. The onset of the global health crisis has further accelerated even the more traditional brick-and-mortar companies to invest in cloud technologies. Yet, we still see customers hosting content on on-premises repositories in spite of inexpensive per-GB cloud storage. Why is that?