Insignary says Clarity AIR is now generally available for scanning source code to identify open-source code missing from software manifests, detect AI-written code, and inventory AI assets. The company says the tool produces an AI Bill of Materials alongside a standard SBOM. These are vendor-described capabilities; the launch materials do not provide independent accuracy results or a supported-language list.
What Clarity AIR is designed to do
Insignary announced Clarity AIR’s general availability on October 8, 2026. Unlike a scan limited to declared package dependencies, the product is described as analyzing source code itself. Insignary says this can help surface code that is not represented in a software manifest, including adapted or regenerated open-source code.
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The company says applications today are built substantially on open-source code at a rate of 70–90%. That estimate appears in Insignary’s launch announcement and is not accompanied there by an independent study citation.
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According to Insignary, Clarity AIR compares source code with its open-source fingerprint database, classifies code line by line with confidence scores, and supports recursive scanning and snippet-level matching. The product page also describes file-level license extraction. These descriptions indicate the intended scope, not independently verified detection performance.
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Insignary says the software identifies AI-written code as a separate category and inventories AI assets used in a product. It can create an AI Bill of Materials alongside a conventional SBOM, with results exportable as SBOMs and reports.
How Insignary says findings are handled
The launch announcement says matches are reviewed and confirmed by a human before being counted. It does not explain the review protocol, what evidence reviewers receive, or how confidence scores should guide follow-up. Organizations evaluating the product should ask how findings are validated and how reviewers can inspect or dispute a match.
Taek Wan Kim, Insignary’s president and CEO, framed the product’s rationale this way: “You cannot verify an SBOM by reading the manifest that created it. AI-written code is the same problem. If a developer does not declare it, nothing records it. You have to look at the code itself.” This is the company executive’s explanation of the problem, rather than an independent assessment.
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The reviewed launch and product materials do not state an independent benchmark, measured detection accuracy, false-positive rate, supported programming languages, or comparative evaluation against other products. They also do not establish an independently verified compliance outcome. A confidence score and human review may be useful parts of a workflow, but they are not substitutes for evidence about coverage and error rates.
For a technical evaluation, ask Insignary for language and file-format coverage, the basis for confidence scores, the validation process, evidence retained for each match, export formats, and results on representative code from your own environment. Also clarify how the tool handles proprietary code, excluded repositories, and access controls before deploying it on customer-owned infrastructure.
Availability, deployment, and evaluation
Insignary says Clarity AIR is available directly from the company and through its partner channel, and is deployed on customer-owned infrastructure. Trial licenses are available on request; the company also offers a free demo of its AI-code-detection capability. The launch announcement gives no price, so prospective buyers need to request commercial terms and deployment requirements directly.
Where AIR fits in Insignary’s product suite
Insignary positions Clarity AIR as its source-code analysis offering. The company describes Clarity as a binary-level software composition analysis platform and Clarity SC as an SBOM governance platform. Its broader Clarity product page describes extracting fingerprints from compiled binaries and matching them against a proprietary knowledge base; that binary-analysis description should not be confused with AIR’s source-code claims.
Insignary’s October 8 announcement names BearingPoint in Europe, Cybertrust Japan and TechMatrix in Japan, and TMA Solutions among its strategic partners. These are company-reported relationships, not a guarantee of current availability, implementation support, or a specific partner’s role in a purchase.
Best Value
Insignary also announced Clarity On-Demand on July 15, 2026, describing it as a pay-per-project service with two weeks of single-user access for one project, SBOM generation, and related alerts. The announcement does not say that this service includes Clarity AIR’s AI-written-code detection.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Questions to ask before choosing a source-code scanner
Clarity AIR addresses a distinct need if an organization wants to inspect source for code that package manifests may not capture, while also tracking AI-written code and AI assets. The launch information is not enough to determine whether it will meet a particular team’s coverage, accuracy, or compliance requirements. Compare candidate products against the same practical questions:
Quick Recap
- Does analysis cover source code, compiled binaries, or both?
- Can the tool identify code absent from declared manifests, and how are matches evidenced?
- Does it distinguish AI-generated code or inventory AI assets, and what does each output contain?
- What human review is required, and how are confidence scores and false positives handled?
- Which languages, file formats, repositories, and build workflows are supported?
- Can it run on infrastructure your organization controls, and what data leaves that environment?
- Which SBOM and report formats can be exported?
- What do a trial or evaluation require, and what are the recurring costs?
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