For most companies, security and IT systems are growing in complexity, breadth of scope, and coverage, which consumes budget and staff time. The rapid breakdown of the traditional perimeter in this “new normal” world increases the challenges IT teams and remote users face on a daily basis.

One of the most important pillars of a well-architected framework is security. Thus, it is important to follow these AWS security best practices to prevent unnecessary security situations. So, you’ve got a problem to solve and turned to AWS to build and host your solution. You create your account and now you’re all set up to brew some coffee and sit down at your workstation to architect, code, build, and deploy. Except, you aren’t.

At CloudCasa, as a cloud-native backup-as-a-service provider, we are often dealing with customer concerns about the security and privacy of their data. Sometimes the concern is almost paradoxical because the data and application they are protecting is publicly accessible and running inside the public cloud. However, there are times when organizations use public cloud infrastructure with a network architecture that resembles a private cloud.

As more and more applications and application development move to the cloud, traditional security roles and organizational structures are being shaken up. Why is that and what are the benefits of a cloud-first approach for business?

This article is intended to summarize the security services and tools provided by Microsoft for Azure cloud. We will also explore the value add Sysdig can provide when used in conjunction with the default Azure services for security.

Software-as-a-Service (SaaS) applications are built on the premise of streamlining business practices to improve productivity. Microsoft 365, Salesforce, and similar SaaS platforms commonly integrate automation tools that allow business users to develop the tools that they need to do their jobs. The latest iteration of this is the integration of low-code/no-code platforms into these SaaS solutions.

Cloud adoption has gained solid momentum over the past few years. The technology has been helping organizations revolutionize their businesses and optimize their processes for increased productivity, reduced cost, and better scalability. But as organizations pour their entire focus on improving their businesses, they tend to lose control of governance. One of the many reasons that data governance tends to get more out of control is when organizations increasingly adopt a hybrid or multi-cloud model.

Over the last decade, enterprises have accelerated the adoption of the cloud. According to the State of the Cloud report by Flexera, the average annual spend on cloud computing is over $62 million. As enterprises continue to invest in the cloud, AWS, the market leader in cloud computing, is growing at a rapid pace. The rise of cloud computing poses new challenges to enterprise IT. With each department migrating and managing their workloads in AWS, there is a proliferation of accounts, users and roles.

Digital transformation has driven the rapid adoption of cloud-delivered services like SaaS/IaaS/PaaS in enterprises. This, in turn, has resulted in the migration of digital assets (aka data) from the confines of enterprise data centers to the cloud data centers that are not under the control of the enterprises. Additionally, the onset of the COVID-19 pandemic has resulted in remote work becoming the norm.

Amazon’s Relational Database Service (AWS RDS) allows you to offload the responsibility of managing a database, but it also comes with the risk of another external dependency. Fortunately, AWS provides some tools and settings to help with this. When you combine your existing data security policy with the AWS tooling and the advice in this article, you'll be well on your way to managing risk more effectively. Let's dive in with 15 AWS RDS data security best practices.