Considering the vast attack surface and flat network architecture, Kubernetes workloads are particularly susceptible to network-based threats. While following best practices like workload access controls, workload-centric IDS/IPS, and WAF can help prevent and block attacks, anomaly detection has become crucial in today’s IT landscape to proactively anticipate security threats.

Many AWS customers have security requirements that are well beyond what AWS Security Groups or AWS Network Access Control Lists can offer in terms of scalability and security. That’s why many of them turn to AWS Network Firewall as a common solution.

While Kubernetes adoption continues to soar, it has become a prime target for cyberattacks. Unfortunately, Kubernetes clusters are complex and can be difficult to secure. Safeguarding your Kubernetes environment requires a solid understanding of the common attack chains that pose a threat to your infrastructure. In this blog post, we dig into the top attack chains that target Kubernetes, shedding light on the risks and offering valuable insights to bolster your defenses.

The timeline of an application can be broadly described in 3 phases: Thus, runtime security in the context of a cloud-native container environment broadly refers to the tools and processes leveraged to protect the operation of running containers in production.

Containers offer a streamlined application deployment and management approach. Thanks to their efficiency and portability, platforms like Docker and Kubernetes have become household names in the tech industry. However, a misconception lurks in the shadows as containers gain popularity - the belief that active vulnerability scanning becomes redundant once containers are implemented.

In my previous blog post, What you can’t do with Kubernetes network policies (unless you use Calico): TLS Encryption, I talked about use case number two from the list of 9 things you cannot implement using basic Kubernetes network policy—anything TLS related. In this blog post, we’ll be focusing on use case number three: node specific policies.

According to research done by ARMO, 100% of Kubernetes clusters that were tested contained at least one misconfiguration, while 65% had at least one high-severity misconfiguration. 50% of clusters had 14 or more failed security controls. According to Redhat research from 2023, 45% of respondents experienced security incidents or issues related to containers and/or Kubernetes due to misconfigurations.