Traceable AI, a provider of API security and observability solutions, is adding extended Berkeley Packet Filter (eBPF) data to its platform, helping CISOs, DevSecOps, and DevOps teams obtain deeper observability and visibility into APIs without additional instrumentation or latency.
With its foundation in Linux, eBPF is a kernel technology that allows programs to run without having to change the kernel source code or add additional instrumentation.
For Traceable AI, the benefits come from eBPF’s deep data, pulled from the application environment. When combined with Traceable AI’s technology, this non-intrusive, robust, and highly efficient approach provides customers 360-degree observability and visibility into all API activity, according to the vendor.
“Traceable is the first API security vendor that captures API security-related data from application environments using eBPF within its platform,” said Sanjay Nagaraj, co-founder and CTO of Traceable AI. “eBPF is critical for the most efficient API security at scale and is especially important for businesses with high-performance security requirements. Think of it as a [web]space telescope, giving companies unprecedented views into their APIs without performance drawbacks. Leading with innovation, our focus has always been on observability, and this move continues to drive our leadership.”
Traceable AI offers an API security platform that provides automatic and continuous API discovery, stops API attacks, and provides actionable intelligence to assist with threat hunting and security decisions. With its solution, organizations can confidently discover, manage and secure their APIs, at any scale, according to the company.
For more information about this news, visit www.traceable.ai.