KubeArmor VS tetragon

Falco is a cloud native Kubernetes threat detection tool. It can detect unexpected behavior, intrusions, and data theft in real time. In the backend, it uses Linux eBPF technology to trace your system and applications at runtime. For example, it can detect if someone tries to read a secret file inside a container, access a pod as a root user, etc, and trigger a webhook or send logs to the monitoring system. There are similar tools like Tetragon, KubeArmor, and Tracee which also provide Kubernetes runtime security.

We're building a KubeArmor - a container-aware runtime security enforcement system n using LSMs - between India, Korea and the US

https://github.com/accuknox/kubearmor

Many interesting software are coming from the community, many are distributed through the package manager of the operating system. But for the others, you can download them from Github release pages, use snap or homebrew to cite a few. But this last installation method bypasses the security team that tries to improve the security of your operating system. By doing so, you are implicitly trusting the author he is not distributing malware or implementing backdoors. How many tools did you install by hand? Do you really trust all of them? Confidence is very important, yet it would be nice to limit capabilities for a set of binary that you don't fully trust. In this blog post, we will use Tetragon to forbid network usage for tools that don't need to.

Falco is a cloud native Kubernetes threat detection tool. It can detect unexpected behavior, intrusions, and data theft in real time. In the backend, it uses Linux eBPF technology to trace your system and applications at runtime. For example, it can detect if someone tries to read a secret file inside a container, access a pod as a root user, etc, and trigger a webhook or send logs to the monitoring system. There are similar tools like Tetragon, KubeArmor, and Tracee which also provide Kubernetes runtime security.