Software supply chain security company Kusari unveiled Kusari Inspector, an AI-based pull request security tool that provides security risk analysis early during the pull request process and address them before code integration. In addition to core supply chain analysis, Kusari Inspector adds real-time pull-request inspection and clear “safe to merge” guidance. Using the tool, developers receive instant, annotated reports with inline explanations, plus step-by-step remediation instructions that flag exposed secrets, misconfigurations, risky licenses and typo-squatted dependencies. Kusari Inspector prioritizes risk by ranking vulnerable or low-trust dependencies, both direct and transitive against trusted sources such as Common Vulnerability Scoring System, Exploit Prediction Scoring System and the Known Exploited Vulnerabilities catalog. The idea is that by filtering out non-exploitable issues, the tool cuts alert noise and keeps teams focused on the threats that matter most. The AI model used by Kusari Inspector continuously learns from each codebase to refine its recommendations. Engineers can chat with the assistant to clarify findings, customize security standards and receive precise coding fixes that accelerate approvals. Additionally, it generates Software Bill of Materials data to support compliance and bolster software supply chain resilience from development through deployment.