ZAST.AI Raises $6M Pre-A to Scale “Zero False Positive” AI-Powered Code Security

ZAST.AI Raises M Pre-A to Scale “Zero False Positive” AI-Powered Code Security

ZAST.AI Raises $6M Pre-A to Scale “Zero False Positive” AI-Powered Code Security

https://thehackernews.com/2026/02/zastai-raises-6m-pre-to-scale-zero.html

Publish Date: 2026-02-10 06:40:00

Source Domain: thehackernews.com

The Hacker NewsFeb 10, 2026Application Security / Artificial Intelligence

January 5, 2026, Seattle, USA — ZAST.AI announced the completion of a $6 million Pre-A funding round. This investment came from the well-known investment firm Hillhouse Capital, bringing ZAST.AI’s total funding close to $10 million. This marks a recognition from leading capital markets of a new solution: ending the era of high false positive rates in security tools and making every alert genuinely actionable.

In 2025, ZAST.AI discovered hundreds of zero-day vulnerabilities across dozens of popular open-source projects. These findings were submitted through authoritative vulnerability platforms like VulDB, successfully resulting in 119 CVE assignments. These are not laboratory targets, but production-grade code supporting global businesses. Affected well-known projects include widely used components and frameworks such as Microsoft Azure SDK, Apache Struts XWork, Alibaba Nacos, Langfuse, Koa, node-formidable, and others.

It was precisely within these widely adopted open-source projects that ZAST.AI discovered hundreds of real, exploitable vulnerabilities accompanied by executable Proof-of-Concept (PoC) evidence. Maintainers of these projects from top technology companies like Microsoft, Apache, and Alibaba have already patched their code based on the PoCs submitted by ZAST.AI.

“In the traditional field of code security analysis, high false positive rates have long been a core pain point plaguing enterprise security teams. Security engineers often spend significant time manually verifying alerts generated by tools, resulting in extremely low efficiency,” said Geng Yang, Co-founder of ZAST.AI. “‘Report is cheap, show me the POC!’ This was the original intention behind founding ZAST.AI — we believe only verified vulnerabilities are worth reporting.”

ZAST.AI’s core innovation lies in its “Automated POC Generation + Automated Validation” technical architecture. Unlike traditional…

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