[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f3-C0EQaCt8BopGi20_79wq1hBQhNkPvRJ3W1Z_-oSro":3},{"article":4,"iocs":53,"watch_terms":54,"solutions":55,"lesson":131},{"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":30,"category":31,"article_tags":35},"2bb4e653-5148-4042-acd0-4f9276c2eb99","Insignary Closes SBOM Accuracy Gap With Binary-Level Clarity for Regulatory Risk","insignary-closes-sbom-accuracy-gap-with-binary-level-clarity-for-regulatory-risk-dee38c","Toronto, Canada, 6th July 2026, CyberNewswire","Insignary has launched its Clarity platform, which provides binary-level analysis for Software Bills of Materials (SBOMs), addressing the accuracy gap in traditional Software Composition Analysis (SCA) tools. This approach is crucial as AI-generated code and third-party binaries often bypass manifest declarations, creating blind spots for security and compliance. Insignary's patented technology analyzes compiled binaries to identify all components, including those not declared in manifests, and offers reachability analysis to prioritize vulnerabilities based on exploitability, which is increasingly important for regulatory compliance.","Insignary Clarity platform offers binary-level SBOM analysis for regulatory compliance.","https:\u002F\u002Fhackread.com\u002Finsignary-closes-sbom-accuracy-gap-with-binary-level-clarity-for-regulatory-risk\u002F","https:\u002F\u002Fhackread.com\u002Fwp-content\u002Fuploads\u002F2026\u002F07\u002Finsignary_logo_highres_17830044308uQUsWZ4Y3.jpg","2026-07-06T12:30:06+00:00","2026-07-06T14:00:25.212578+00:00",7,[17,20,23,26,28],{"name":18,"type":19},"Insignary Clarity","product",{"name":21,"type":22},"Insignary","vendor",{"name":24,"type":25},"SBOM","technology",{"name":27,"type":25},"SCA",{"name":29,"type":25},"AI-generated code","26b0b636-0e31-4db1-bffb-61bdf9f20a58",{"id":30,"icon":32,"name":33,"slug":34},null,"Supply Chain","supply-chain",[36,41,43,48],{"category":37},{"id":38,"icon":32,"name":39,"slug":40},"02371804-cf6d-4449-98de-f1a2d4d9b266","Tools","tools",{"category":42},{"id":30,"icon":32,"name":33,"slug":34},{"category":44},{"id":45,"icon":32,"name":46,"slug":47},"53f9c4b6-8bc6-4964-9169-d09e5cd41d72","Compliance","compliance",{"category":49},{"id":50,"icon":32,"name":51,"slug":52},"839da5c1-3c34-47e2-9499-f7201640e3ac","AI Security","ai-security",[],[21,18],{"controls":56,"vendors":130},[57,86,113],{"slug":58,"name":59,"problem":60,"products":61},"vulnerability-management","Vulnerability scanning and prioritisation","You know which systems are vulnerable, and which ones to fix first.",[62,70,78],{"vendor_slug":63,"vendor_name":64,"vendor_logo":65,"product_slug":66,"product_name":67,"url":68,"description":69},"holm-security","Holm Security","\u002Fvendor-logos\u002Fholm-security.png","holm-security-platform","Holm Security Platform","https:\u002F\u002Fwww.holmsecurity.com\u002F","Vulnerability scanning of systems, web applications, cloud and the external attack surface, plus phishing simulation.",{"vendor_slug":71,"vendor_name":72,"vendor_logo":73,"product_slug":74,"product_name":75,"url":76,"description":77},"axonius","Axonius","\u002Fvendor-logos\u002Faxonius.png","axonius-exposures","Axonius Exposures","https:\u002F\u002Fwww.axonius.com\u002Fplatform\u002Fexposures","Brings findings from different scanners together with asset and business context, to show what matters most and track fixes to the end.",{"vendor_slug":79,"vendor_name":80,"vendor_logo":81,"product_slug":82,"product_name":83,"url":84,"description":85},"rapid7","Rapid7","\u002Fvendor-logos\u002Frapid7.png","insightvm","Rapid7 Exposure Command (InsightVM)","https:\u002F\u002Fwww.rapid7.com\u002Fproducts\u002Finsightvm\u002F","Vulnerability scanning and risk-based prioritisation; InsightVM is now part of Exposure Command, alongside attack surface and cloud risk.",{"slug":87,"name":88,"problem":89,"products":90},"software-supply-chain","Software supply chain security","Malicious and vulnerable open-source packages are caught before they ship.",[91,99,105],{"vendor_slug":92,"vendor_name":93,"vendor_logo":94,"product_slug":95,"product_name":96,"url":97,"description":98},"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":100,"vendor_name":101,"vendor_logo":102,"product_slug":100,"product_name":101,"url":103,"description":104},"socket","Socket","\u002Fvendor-logos\u002Fsocket.png","https:\u002F\u002Fsocket.dev\u002F","Detects and blocks malicious and risky packages in npm, PyPI and other ecosystems.",{"vendor_slug":106,"vendor_name":107,"vendor_logo":108,"product_slug":109,"product_name":110,"url":111,"description":112},"jfrog","JFrog","\u002Fvendor-logos\u002Fjfrog.png","jfrog-curation","JFrog Curation","https:\u002F\u002Fjfrog.com\u002Fcuration\u002F","Blocks malicious and risky open-source packages before they enter your repositories.",{"slug":114,"name":115,"problem":116,"products":117},"compliance-automation","Compliance automation (GRC)","Evidence for NIS2, DORA and ISO 27001 is collected continuously, not in a rush before the audit.",[118,124],{"vendor_slug":119,"vendor_name":120,"vendor_logo":121,"product_slug":119,"product_name":120,"url":122,"description":123},"drata","Drata","\u002Fvendor-logos\u002Fdrata.png","https:\u002F\u002Fdrata.com\u002F","Continuous control monitoring and audit readiness across security frameworks.",{"vendor_slug":125,"vendor_name":126,"vendor_logo":127,"product_slug":125,"product_name":126,"url":128,"description":129},"vanta","Vanta","\u002Fvendor-logos\u002Fvanta.png","https:\u002F\u002Fwww.vanta.com\u002F","Automated evidence collection and continuous monitoring for ISO 27001, SOC 2, NIS2 and other frameworks.",[],{"slug":132,"title":133,"body":134,"framework_refs":135,"framework_notes":146},"binary-level-sbom-analysis-closes-critical-software-composition-blind-spots","Binary-Level SBOM Analysis Closes Critical Software Composition Blind Spots","Traditional Software Composition Analysis (SCA) tools rely on manifest declarations to identify software components, leaving a dangerous accuracy gap when AI-generated code or third-party binaries introduce undeclared dependencies. These blind spots mean organizations may unknowingly ship or operate software containing vulnerable components that never appear in their declared Software Bills of Materials (SBOMs). As regulatory frameworks increasingly mandate accurate SBOMs — such as under U.S. Executive Order 14028 and the EU Cyber Resilience Act — incomplete visibility into software composition creates both security and legal risk. Without reachability analysis to prioritize truly exploitable vulnerabilities, security teams also risk alert fatigue from chasing theoretical flaws while real threats go unaddressed.",[136,137,138,139,140,141,142,143,144,145],"NIST SP 800-161 (C-SCRM) — Supply Chain Risk Management","NIST SP 800-53 SA-12: Supply Chain Protection","NIST SP 800-53 RA-5: Vulnerability Monitoring and Scanning","CIS Control 2: Inventory and Control of Software Assets","CIS Control 7: Continuous Vulnerability Management","NTIA Minimum Elements for an SBOM","U.S. Executive Order 14028 — Improving the Nation's Cybersecurity (SBOM requirements)","EU Cyber Resilience Act (CRA) — Article 13: Obligations of Manufacturers","NIST SSDF (SP 800-218) PW.4: Reuse Existing, Well-Secured Software","ISO\u002FIEC 27001:2022 — A.8.8 Management of Technical Vulnerabilities",{}]