Software is eating the world. In the age of cloud computing, developers now own the security posture of your enterprise because the cloud is fully software-defined and programmable. If that scares you, it's because you haven't given your developers the tools to create secure systems. The good news is that you can, but you need to change how you.
UPDATE: August 26, 2019Since posting this, AWS has made some public statements regarding the breach that shed some light on what likely happened. From their response to Senator Ron Wyden, AWS stated:"As Capital One outlined in their public announcement, the attack occurred due to a misconfiguration error at the application layer of a firewall.
In the last part of this series, we're going to look at the final stages of the software development life cycle (SDLC)—deployment and operations. As a reminder, in parts one and two, we discussed the overall concept of shifting left for security and compliance, and laid out some best practices for how to do so during the development and testing.
In an earlier blog post, we discussed at a high level how security can shift left regarding cloud infrastructure. In this post, we'll drill in with more detail on how this can be done through the discrete phases of the Software Development Life Cycle (SDLC), beginning with the development phase, and extending through testing, and ultimately all.
We're hearing a lot about “shifting left” these days in the industry, and like most popular terms the meaning can be hard to pin down, and some of the implications buried. This post will focus on how to shift security and compliance left in cloud computing. These two functions are closely related, but the operational aspect of each is quite.
There is a lot of talk about DevSecOps these days, and we've been working in the area for years now and have learned some things that work and some that don't. First, we'll give you our view on what DevSecOps is, and then we'll make a few recommendations on how to start doing it and get real results in an hour or two!
A lot of folks have realized that manually fixing cloud infrastructure to correct security and compliance issues is just too slow and error prone to handle the threat landscape on the cloud. An increasingly common approach to speeding up remediation these days is to use cloud functions, such as AWS Lambda or Azure Functions, connected to a.
The repercussions of recent cloud outages—AWS’s S3 crash and Azure’s Active Directory cascading failure—linger in IT departments and manifest in revenue loss. But, the bigger story is that the next outage is around the corner—unpredictable, coming to get us on a random.