Boost Security Acquires SecureIQx and Korbit.ai, Raises $4 Million

May 6, 2026
Boost Security has acquired SecureIQx and Korbit.ai and secured $4 million in additional funding from White Star Capital, Amiral Ventures, Accelia Capital, and Sorensen Capital to expand its AI-based software security platform.
Boost Security Acquires SecureIQx and Korbit.ai, Raises $4 Million

Boost Security has acquired SecureIQx and Korbit.ai, along with $4 million in additional funding from White Star Capital, Amiral Ventures, Accelia Capital, and Sorensen Capital, announced in a press release.

SecureIQx, founded at MIT, developed a Software Composition Analysis engine that can analyze binary and source code across multiple programming languages to determine if vulnerabilities are reachable and exploitable. Korbit.ai built an AI-based pull request review platform trained on hundreds of millions of lines of code to detect security issues and performance problems during code review.

The acquisitions add reachability analysis and AI-based static analysis capabilities to Boost Security's platform, which unifies developer endpoint protection, software supply chain security, and application security posture management. The new funding will support continued development of the platform designed to secure software throughout the development lifecycle.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

AI Funding Brief

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.