[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f7baqVVj-j3SvIT8m6pLFvp2l6_lKeeS7fh_AefmbvXI":3},{"article":4,"iocs":54,"watch_terms":55,"solutions":56,"lesson":86},{"id":5,"title":6,"slug":7,"summary":8,"ai_summary":9,"brief":10,"url":11,"image_url":12,"published_at":13,"ingested_at":14,"relevance_score":15,"entities":16,"category_id":31,"category":32,"article_tags":36},"a99baadb-cf85-4862-aeee-49b2ce7d2cee","Exclusive: Meet AIVEX, a New Triage Model Built to Reduce Supply Chain Threat and Risk","exclusive-meet-aivex-a-new-triage-model-built-to-reduce-supply-chain-threat-and--43b6f5","The new framework seeks to help security teams identify which software supply chain vulnerabilities pose the greatest operational, safety, and business risks in AI-driven environments. The post Exclusive: Meet AIVEX, a New Triage Model Built to Reduce Supply Chain Threat and Risk appeared first on SecurityWeek.","A new framework called AIVEX, developed by independent researcher Devashri Datta, aims to improve the prioritization of software supply chain vulnerabilities. It addresses the limitations of existing methods like SBOMs, VEX statements, and CVSS scores by introducing a Safety Relevance Interpretation Layer (SRIL) to provide crucial context, especially in AI-driven environments where vulnerabilities can have physical safety implications.","New AIVEX model enhances software supply chain vulnerability triage with AI context.","https:\u002F\u002Fwww.securityweek.com\u002Fexclusive-meet-aivex-a-new-triage-model-built-to-reduce-supply-chain-threat-and-risk\u002F","https:\u002F\u002Fwww.securityweek.com\u002Fwp-content\u002Fuploads\u002F2026\u002F04\u002Fcoding-vulnerability-software-development.jpeg","2026-06-24T14:30:35+00:00","2026-06-24T16:00:33.431373+00:00",7,[17,20,22,24,26,29],{"name":18,"type":19},"AI","technology",{"name":21,"type":19},"SBOM",{"name":23,"type":19},"VEX",{"name":25,"type":19},"CVSS",{"name":27,"type":28},"AIVEX","product",{"name":30,"type":28},"CycloneDX","26b0b636-0e31-4db1-bffb-61bdf9f20a58",{"id":31,"icon":33,"name":34,"slug":35},null,"Supply Chain","supply-chain",[37,39,44,49],{"category":38},{"id":31,"icon":33,"name":34,"slug":35},{"category":40},{"id":41,"icon":33,"name":42,"slug":43},"80544778-fabb-4dcd-aa35-17492e5dcf4f","Vulnerabilities","vulnerabilities",{"category":45},{"id":46,"icon":33,"name":47,"slug":48},"839da5c1-3c34-47e2-9499-f7201640e3ac","AI Security","ai-security",{"category":50},{"id":51,"icon":33,"name":52,"slug":53},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[27,30],{"controls":57,"vendors":85},[58],{"slug":59,"name":60,"problem":61,"products":62},"software-supply-chain","Software supply chain security","Malicious and vulnerable open-source packages are caught before they ship.",[63,71,79],{"vendor_slug":64,"vendor_name":65,"vendor_logo":66,"product_slug":67,"product_name":68,"url":69,"description":70},"snyk","Snyk","\u002Fvendor-logos\u002Fsnyk.png","snyk-open-source","Snyk Open Source","https:\u002F\u002Fsnyk.io\u002Fproduct\u002Fopen-source-security-management\u002F","Finds and fixes vulnerable open-source dependencies in code and pipelines.",{"vendor_slug":72,"vendor_name":73,"vendor_logo":74,"product_slug":75,"product_name":76,"url":77,"description":78},"github","GitHub","\u002Fvendor-logos\u002Fgithub.png","advanced-security","GitHub Advanced Security","https:\u002F\u002Fgithub.com\u002Fsecurity\u002Fadvanced-security","Dependency review, code scanning and secret scanning with push protection.",{"vendor_slug":80,"vendor_name":81,"vendor_logo":82,"product_slug":80,"product_name":81,"url":83,"description":84},"socket","Socket","\u002Fvendor-logos\u002Fsocket.png","https:\u002F\u002Fsocket.dev\u002F","Detects and blocks malicious and risky packages in npm, PyPI and other ecosystems.",[],{"slug":87,"title":88,"body":89,"framework_refs":90,"framework_notes":100},"aivex-framework-targets-gaps-in-software-supply-chain-vulnerability-prioritization","AIVEX Framework Targets Gaps in Software Supply Chain Vulnerability Prioritization","Existing vulnerability triage tools such as SBOMs, VEX statements, and CVSS scores fail to provide adequate context for software supply chain risks, particularly in AI-driven environments where a flaw in a dependency could cascade into physical safety consequences. The root problem is that organizations rely on severity scores that lack situational awareness — a critical library vulnerability rated 'medium' in isolation may be catastrophic when embedded in an autonomous system. AIVEX's Safety Relevance Interpretation Layer (SRIL) attempts to bridge this gap by injecting domain-specific context into triage decisions. This matters because supply chain attacks have grown dramatically in sophistication, and mis-prioritized vulnerabilities are routinely exploited before defenders act on them.",[91,92,93,94,95,96,97,98,99],"CIS Control 2 – Inventory and Control of Software Assets","CIS Control 7 – Continuous Vulnerability Management","NIST SP 800-161r1 – Cybersecurity Supply Chain Risk Management","NIST SP 800-53 SA-12 – Supply Chain Protection","NIST SP 800-53 RA-3 – Risk Assessment","NIST SSDF (SP 800-218) – Secure Software Development Framework","ISO\u002FIEC 27036 – Information Security for Supplier Relationships","SLSA Framework – Supply Chain Levels for Software Artifacts","OWASP Software Component Verification Standard (SCVS)",{}]