Initially, microsegmentation was focused on dividing networks into trust zones to prevent lateral movement. However, the emergence of Kubernetes and ephemeral workloads has transformed its definition. Now, it emphasizes separating workload behaviors through methods like Kubernetes identity and process execution. This evolution requires new tools and approaches to security, as responsibilities have transitioned into the application runtime. Tetragon leverages eBPF technology to capture and analyze real-time events within this new paradigm, highlighting the need for developers and security professionals to adapt to runtime microsegmentation.
Microsegmentation used to mean separating network zones. Today, it means separating workload behaviors. The shift is both technical and cultural. Instead of segmenting by IP or subnet, we now segment by Kubernetes identity, process execution, file access, and even geographic origin.
As the software delivery model evolved, so too have the security responsibilities. They've shifted into the application runtime. Today, developers, platform engineers, and security professionals are all being asked to reason about something they were never trained for: runtime microsegmentation.
Tetragon, a Kubernetes-native runtime security project built on eBPF, enables this shift. eBPF allows us to hook directly into the Linux kernel, capturing events like system calls, process executions, and network activity in real time.
Microsegmentation was slow to implement, hard to maintain, and designed primarily for static infrastructure: rack-mounted servers, predictable IP ranges, and tightly controlled perimeters.
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