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

Traceable AI adds extensive data from Berkeley Packet Filter (eBPF) to its platform. Traceable helps CISOs, DevSecOps, and DevOps teams gain deeper visibility and visibility into APIs without additional instrumentation or latency, improving companies’ API security posture.

Rooted in Linux, eBPF is a kernel technology that allows programs to run without changing the kernel source code or adding additional instrumentation. For Traceable AI, the benefits of eBPF’s deep data come from the application environment. Combined with Traceable AI technology, this approach provides customers with 360-degree observation and insight into all API activities.

“Traceable is the first API security vendor to capture 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 companies with high-end security requirements. Think of it as a [web]space telescope, giving companies unprecedented insights into their APIs without performance constraints. We are at the forefront of innovation and have always focused on observability, and this move continues to drive our leadership.”

With years of expertise in distributed tracing and observability, Traceable AI is the API security platform that provides automatic and continuous API detection, stops API attacks, and provides actionable intelligence to help with threat searches and security decisions. With this solution, organizations can confidently discover, manage and secure their APIs at any scale.

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