Traceable AI adds eBPF to security platform for deeper API observability and visibility

API security firm Traceable AI has announced the addition of extended Berkeley Packet Filter (eBPF) data to its platform to enhance API observability and visibility. eBPF is a technology that makes it possible to run special programs deep inside the Linux operating system in an isolated way.

A variant of BPF, it has become a universal in-kernel virtual machine that allows teams to collect data from Linux applications and network resources more easily and efficiently. By adding eBPF data to its platform, Traceable AI said it is helping CISOs, DevSecOps, and DevOps teams improve API security postures without the need to change kernel source code or add instrumentation.

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