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Insignary's Clarity AIR addresses a critical gap in software supply chain security by detecting undeclared open-source dependencies and quantifying AI-generated code within production environments. By providing snippet-level scanning that distinguishes human-written logic from AI-assisted output, the tool enables accurate Software Bills of Materials (SBOMs) even when developers fail to declare assets or modify them using generative models. This capability is essential for managing the growing risks associated with untracked third-party code and opaque AI contributions in enterprise software stacks.
Insignary Launches Clarity AIR to Detect Undeclared Open-Source and AI-Written Code
Toronto, Canada, October 8th, 2026, CyberNewswire Insignary Launches Clarity AIR: Closing the Blind Spot Between What Your Developers Declare and What’s Actually in Your Code New snippet-level scanning shows security and compliance leaders which open-source code and which AI-written code never made it into a manifest. Insignary Inc. today announced the general availability of Insignary […] The post Insignary Launches Clarity AIR to Detect Undeclared Open-Source and AI-Written Code appeared first on Cyber Security News.
New snippet-level scanning shows security and compliance leaders which open-source code and which AI-written code never made it into a manifest. Insignary Inc. today announced the general availability of Insignary Clarity AIR, a source-code scanning product built to answer a question most security teams can’t currently answer with confidence: what is actually running in their software, beyond what developers reported. Manifests…
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