Traceable AI adds eBPF to its security platform to improve observability and visibility of all API activity

Traceable AI adds extended Berkeley Packet Filter (eBPF) data to its platform. Traceable helps CISOs, DevSecOps and DevOps teams gain deeper API observability and visibility without additional detection or delays – improving a company’s API security posture.

With its foundation in Linux, eBPF is a kernel technology that allows programs to run without changing the kernel source code or adding additional tools. For Traceable AI, the benefits come from eBPF’s deep data, extracted from the application environment. When combined with Traceable AI’s technology, this approach provides customers with 360-degree observability and visibility into all API activity.

“Traceable is the first API security vendor to use eBPF within its platform to capture API security-related data from application environments,” said Sanjay Nagaraj, co-founder and CTO of Traceable AI. Efficient API security is critical, especially for businesses with high-performance security requirements. Think of it as a [web]Space Telescope, giving companies an unprecedented view of their API without performance bugs. Led by innovation, our focus has always been on observability, and this move will continue to drive our leadership. “

With years of expertise in distributed tracing and observability, Traceable AI is an API security platform that provides automated and continuous API discovery, stops API attacks, and provides actionable intelligence to assist in threat hunting and security decisions. With its solutions, organizations can confidently discover, manage and secure APIs at any scale.

Leave a Comment

Your email address will not be published.