Upwind Enhances API Security with Automatic Discovery of Sensitive Data Flows

Technology

Oct 23

Amiram Shachar, Co-Founder and CEO of Upwind ● Photo Credit: Upwind

SAN FRANCISCO, October 23, 2024 (VSNewsNetwork.com) – Upwind has introduced a new feature to its platform that enables the automatic discovery and classification of sensitive data flows through APIs. This enhancement aims to help organizations identify and secure sensitive data transmitted through their APIs, addressing growing concerns around API-based cyberattacks.

According to recent research by CheckPoint, attempts to attack Web APIs have risen by 20% in 2024, with one in 4.6 organizations impacted weekly. Upwind’s new feature is designed to address this risk by automatically tracking and classifying sensitive data, including Payment Card Industry (PCI) information, Personally Identifiable Information (PII), and Protected Health Information (PHI). The platform detects sensitive data patterns at the packet level, ensuring that this information remains secure within the customer’s environment.

The platform uses eBPF-based sensors to analyze API traffic in real-time, allowing security teams to pinpoint potential vulnerabilities and prioritize their efforts. This method avoids the need for traditional approaches like traffic mirroring, which can be costly and inefficient.

Amiram Shachar, Upwind Co-Founder and CEO stated: "Upwind’s API security for sensitive data flows was designed to empower security teams by cutting through the noise and zeroing in on the most critical risks. As API traffic continues to surge, it’s crucial that organizations have the tools to not only identify vulnerabilities but also address them before they lead to breaches. Our goal is to provide a clear path to securing sensitive data in real-time, helping businesses stay ahead of an increasingly complex threat landscape."

Upwind’s platform aims to provide greater visibility into API traffic and security risks, helping organizations adopt a more proactive approach to securing sensitive data flows.

For more information, visit www.upwind.io.

Source: Upwind