EBPF is a technology from the Linux kernel that can run sandboxed programs in an operating system kernel. The technology is used to extend kernel capabilities safely and efficiently without the need to modify source code or load modules.
For Traceable AI, the benefits of using eBPF come from the technology’s ability to extract in-depth data from the application environment. Combining this data with Traceable AI’s technology provides a non-intrusive, robust and highly efficient approach that provides customers with 360-degree observability and visibility into all API activities, according to the company.
Traceable AI claims to be the first company to use ePBF for API security, helping information security managers, DevSecOps and DevOps teams achieve deeper API observability and visibility without additional instrumentation or latency. The service is said to radically advance companies’ API security posture.
“EBPF is essential for the most effective API security at scale and is especially important for enterprises with high security requirements,” said Sanjay Nagaraj, co-founder and chief technology officer of Traceable AI, in a statement. . “Think of it as a (web) space telescope, giving businesses unprecedented views into their APIs without the performance drawbacks.”
With the addition of eBFB, Traceable AI’s comprehensive API Security Platform services now include automatic and continuous API discovery, the ability to stop API attacks, and the provision of actionable insights. to help with threat hunting and security decisions. Its AI solution enables organizations to discover, manage and secure their APIs at any scale.
Traceable AI was previously in the news on May 3 when it raised $60 million in new funding at a $450 million valuation to accelerate its growth by investing in its product development and research efforts. The company also announced new features for its API catalog on June 1 that help organizations overcome API discovery and risk assessment challenges.