Traceable AI, a context-aware API security platform, recently added extended Berkeley Packet Filter (eBPF) data to its platform. With no additional instrumentation or delay, Traceable AI assists CISOs, DevSecOps, and DevOps teams in enhancing their organizations’ API security posture by enabling deeper observability and visibility into APIs.
Traceable AI, an API security platform with years of experience in distributed tracing and observability, delivers automatic and continuous API discovery, prevents API assaults, and offers actionable intelligence to help with threat hunting and security decisions. In addition to identifying APIs, Traceable also assesses API risk posture, thwarts API assaults that cause incidents like data exfiltration, and offers analytics for threat hunting and forensic investigation. With its latest solution, businesses of any size can efficiently identify, manage, and secure their APIs.
The eBPF kernel technology, which has its roots in Linux, enables programs to operate without altering the kernel source code or incorporating additional instrumentation. Traceable AI benefits from it through eBPF’s deep data collected from the application environment. This method offers consumers 360-degree observability and visibility into every API activity when paired with Traceable AI’s cutting-edge technology.
“Traceable is the first API security vendor that captures API security-related data from application environments using eBPF within its platform. 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”, said Sanjay Nagaraj, co-founder and CTO of Traceable AI.