Boost Security Acquires SecureIQx and Korbit.ai, Raises $4M to Expand AI-Native AppSec Platform

New updates have been reported about Boost Security.

Boost Security is accelerating its AI-native application security strategy with the acquisitions of SecureIQx and Korbit.ai and an additional $4 million in funding from existing investors White Star Capital, Amiral Ventures, Accelia Capital, and Sorensen Capital. The deals are aimed at strengthening Boost’s SDLC defense platform as enterprises adopt AI coding agents, expand reliance on third-party packages, and face escalating software supply chain risks.

By integrating SecureIQx, an MIT spinout with a software composition analysis reachability engine, Boost can now assess whether vulnerable components are actually exploitable across both binaries and source code in more than a dozen languages. The acquisition of Korbit.ai adds an AI-driven pull request review layer trained on hundreds of millions of lines of code, giving Boost AI-native static analysis and code review capabilities directly in the developer workflow.

These technologies extend Boost’s unified platform, which already combines developer endpoint protection, software supply chain security, and AI-native application security posture management into a single execution engine. The platform is designed to run at the same speed as AI coding agents, protecting AI workspaces, blocking malicious or vulnerable dependencies before ingestion, and automatically fixing flawed code prior to commit.

Founder and CEO Zaid Al Hamami framed the moves as preparation for a sharp inflection in software generation, citing estimates that code volume in 2025 was 15 times higher than in 2024 and increasingly produced or reviewed by non-human agents. He said the acquisitions will bring deeper agentic capabilities into Boost’s platform to detect and remediate vulnerabilities at machine scale.

Investor White Star Capital highlighted that recent high-profile supply chain attacks are an early signal of broader systemic risk as organizations ship AI-generated code, warning that the same AI agents writing code cannot be the last line of defense. Boost’s architecture, which operates outside the generation loop to intercept threats before production, is positioned as a differentiated approach for enterprises seeking to secure AI-accelerated development pipelines.

The $4 million capital infusion will fund continued R&D, product integration, and platform expansion, enabling Boost to enhance reachability analysis, AI-native SAST, and automated remediation capabilities for global engineering teams. For customers, the combined offerings are intended to reduce security bottlenecks while allowing developers to maintain high release velocity, particularly in environments where AI tools are rapidly scaling code output.

In financial and strategic terms, the acquisitions and funding consolidate Boost’s position in the emerging market for AI-native SDLC defense, where vendors are racing to secure AI-assisted software development and complex supply chains. The company aims to capture demand from large enterprises and high-growth software organizations that need to quantify which vulnerabilities matter in production and embed security earlier in the development lifecycle.

Looking ahead, Boost is expected to focus on deeper integrations with developer tooling, expansion of language and framework coverage, and further automation of risk prioritization. As AI-generated code becomes the norm rather than the exception, the company is positioning its platform as a control plane for securing codebases, pipelines, and AI agents at the pace of modern software delivery.