If you’ve been paying attention to trends in access control, then you’ll likely have come across the terms Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC). Both have years of precedent in the field of access control, and both are used to great effect across nearly every market in the world.
As cloud adoption and digital transformation increases, more sensitive data from applications is being stored in data containers. This is why effective container security controls to securely manage application connectivity is an absolute must. AlgoSec CTO and Co-Founder, Prof. Avishai Wool provides some useful container security best practices to help you do just that.
The adoption of Kubernetes and its ecosystem has continued its rapid growth, with over 5.1 million developers worldwide now using Kubernetes. Developers are adopting and utilizing Kubernetes to manage containerized workloads and services. Kubernetes has many benefits for organizations and developers including auto scaling, automated deployment and rollback, self-healing, loading balancing and application centricity.
Testing the relatively new function mocking feature of OPA revealed a vulnerability in the Go API, where the use of the WithUnsafeBuiltins function on the compiler object — a deprecated legacy function used to declare a set of function names as unsafe, and as such rejected in the policy compilation stage — could be bypassed by mocking a function, effectively replacing it with one of the functions deemed unsafe.
AWS Security Groups (and Network ACLs and VPCs) are some of the fundamental building blocks of security in your cloud environment. They are similar to firewalls but are not the same thing. You have to understand this topic very well before you begin building in the cloud, because there are some subtle differences in how they are used, and you need to follow best practices. You should know your public cloud provider is contractually bound to honor its side of a shared responsibility model.
Whether you’re migrating to the cloud via lift-and-shift deployments, or re-architecting to a cloud-native architecture, the migration itself and adopting a microservices architecture is no easy feat. To accelerate their cloud-native journey, many organizations opt for a managed Kubernetes service, as the skill and resources required to run a container orchestration system at scale are demanding.
Contrary to what you might have read on the Internet, machine learning (ML) is not magic pixie dust. It’s a broad collection of statistical techniques that allows us to train a computer to estimate an answer to a question even when we haven’t explicitly coded the correct answer into the program.
We just enhanced Styra Declarative Authorization Service (DAS) with a feature customers have been asking for: near-instant scanning of policy-as-code config files right in GitHub. …Oh, and as a bonus, it’s free, it’s available now and it only takes a couple minutes to see live in-action in your repos!
Containerization with Docker has become a major trend in web application development that many.NET developers have adopted. There are many compelling advantages for developers and DevOps engineers to containerize.NET applications, even when working with the older.NET Framework 4.x versions. However, if we don’t know how to use containers properly, we’ll experience little benefit from them.
