ZAST.AI Raises $6M Pre-A to Scale "Zero False Positive" AI-Powered Code Security
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ZAST.AI Raises $6M Pre-A to Scale "Zero False Positive" AI-Powered Code Security
"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."
ZAST.AI completed a $6 million Pre-A funding round from Hillhouse Capital, bringing total funding close to $10 million. In 2025 ZAST.AI discovered hundreds of zero-day vulnerabilities across dozens of popular open-source projects and submitted findings through VulDB, resulting in 119 CVE assignments. The vulnerabilities affected production-grade code in widely used components and frameworks such as Microsoft Azure SDK, Apache Struts XWork, Alibaba Nacos, Langfuse, Koa, and node-formidable. Executable proof-of-concept exploits accompanied the discoveries and maintainers have patched affected projects. ZAST.AI's core architecture automates POC generation and validation using advanced AI to reduce false positives and increase actionable alerts.
Read at The Hacker News
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