Kusari Releases Free AI Code Security Tool for Major Open-Source Projects
San Francisco, Monday, 23 March 2026.
On March 23, 2026, Kusari made its AI-powered security tool free for key open-source projects, proactively blocking critical vulnerabilities before they compromise foundational enterprise software.
Automating Security in Cloud Native Workflows
The newly accessible Kusari Inspector functions as an automated layer of defense within developer workflows [1]. By utilizing artificial intelligence, the tool evaluates code for dependency, license, and security risks, delivering immediate go or no-go recommendations directly inside GitHub pull requests or via a command-line interface (CLI) [1]. According to Michael Lieberman, Co-Founder and CTO of Kusari, the platform is designed to allow project maintainers to make confident decisions on code contributions without needing to act as specialized security experts [1].
Ecosystem Expansion and Open-Source Milestones
The integration of Kusari’s tool coincides with significant momentum for the broader open-source security community. At the Open Source SecurityCon Europe in Amsterdam during the week of March 22, 2026, the OpenSSF announced the addition of Helvethink, Spectro Cloud, and Quantrexion as General Members [2]. Simultaneously, the Supply-chain Levels for Software Artifacts (SLSA) project—an existing adopter of Kusari’s technology—officially achieved Graduated status, cementing its position as a critical framework for supply chain integrity [1][2]. Furthermore, the Gemara project, another Kusari adopter, released its inaugural white paper on the same day [1][2].
Securing a Rapidly Growing Cloud Infrastructure
The necessity for robust, automated security tools is magnified by the explosive growth of the cloud infrastructure market. In 2024, the global cloud Platform-as-a-Service (PaaS) tools market was valued at $50.3 billion [3]. Industry forecasts project this sector to accelerate to $160.7 billion by 2033 [alert! ‘Market projections for 2033 are forward-looking estimates and subject to macroeconomic volatility’] [3]. This represents an anticipated growth of 219.483 percent over the nine-year period. As enterprises increasingly migrate to these expansive cloud platforms [GPT], the foundational open-source components they rely upon become prime targets for automated threats [2].