Are Software composition analysis (SCA) scans and container scans the same thing? The short answer is yes… and no. A comprehensive container image scan applies SCA specifically to containers in combination with other analyses particular to containers, such as how they’re configured to deploy and the presence of secrets. Read on to learn the key differences.

Serverless containers mark a notable evolution from traditional containerization. Traditional containers, being continuously active, can lead to resource wastage. Serverless containers, however, are ephemeral and operate on-demand. For developers, this means less time spent on server management and more on coding. Kubernetes, or K8s, stands out in automating, scaling, and managing these containerized applications.

In cloud-native software development, ensuring the supply chain security of containerized applications in Kubernetes (K8s) environments is of utmost importance. With the continuous evolution of threats, safeguarding your containerized applications at every stage is not a choice anymore; it is an absolute necessity. With Calico’s vulnerability management, you can scan container images across three pivotal application lifecycle stages: Let’s break down the scanning guardrails offered by Calico.

DIE is the notion that an immutable workload should not change during runtime; therefore, any observed change is potentially evident of malicious activity, also commonly referred to as Drift. Container Drift Detection provides an easy way to prevent attacks at runtime by simply following security best practices of immutability and ensuring containers aren’t modified after deployment in production.

Organizations are increasingly relying on Kubernetes to orchestrate and manage their containerized applications. While Kubernetes offers a powerful framework for deploying and scaling applications, managing complex applications manually can be a daunting, error-prone, and lead to a multitude of security issues. One of the primary challenges lies in the sheer complexity of managing multiple components across a Kubernetes cluster.

10 minutes to pain. When it comes to cloud security, 10 minutes or less is what bad actors need to execute an attack. Does it mean your business could be at risk if you fail to detect and respond to an attack in less than 10 minutes? Absolutely yes. With more and more sophisticated security attacks actively occurring nowadays, security teams need to hold themselves to a modernized benchmark.

In my previous blog post, What you can’t do with Kubernetes network policies (unless you use Calico): Advanced policy querying & reachability tooling, I talked about this use case from the list of nine things you cannot implement using basic Kubernetes network policy — advanced policy querying and reachability tooling. In this blog post, we’ll focus on the use case — the ability to log and analyze network security events.

Containers have revolutionized development in the cloud, allowing dev teams to work with unprecedented speed, efficiency, and scale. But securing containers at that speed and scale can be a thorny problem. The infrastructure of containers is complex and contains multiple attack vectors, and most enterprises don’t have the time or resources to secure all attack vectors for all containers.

Containers offer many benefits, including lightweight portability from one environment to another, but they add a layer of complexity to application security that can introduce additional risks. There are many ways a container can become vulnerable to attack: through its source code, how the container is built, how the container is configured, how it secures secrets, and how it interacts with the host and other containers. Each of these avenues has its own security solutions and best practices.

The heightened demand for cloud applications places a premium on the agility of development teams to swiftly create and deploy them. Simultaneously, security teams face the crucial task of safeguarding the organization’s cloud infrastructure without impeding the pace of innovation.