Executive Summary

Many development organizations now face a practical audit gap: LLM-assisted code and copy-paste snippets enter repositories with little or no recorded chain-of-custody, leaving security, legal, and compliance teams — especially in regulated and enterprise environments — unable to prove provenance or investigate incidents. This affects a large addressable market of roughly 1,000,000 developer organizations (a $12.0B market at a $12K ACV assumption) and creates real risk for teams that must demonstrate control over their software supply chain. A product could capture immutable chain-of-custody for generated code by recording metadata (prompt, model version, provider, timestamps, hashes) at the IDE, CI/CD, and repository layers, producing attestations and SBOM-compatible outputs and offering a searchable audit trail and policy enforcement dashboard. Delivered as a hybrid SaaS/on-prem platform with lightweight SDKs, repository/CI plugins, and integrations with in-toto, Sigstore and SPDX, it would target security, compliance and developer experience owners and be priced toward the $5–25K ACV band for mid-size to large teams. This market is unusually attractive right now because LLM-assisted coding is rising rapidly, enterprises are already increasing spend on software supply-chain security after high-profile breaches, and regulatory pressure is moving toward auditable software provenance; our market assessment scores this opportunity 92/100 with a revenue potential of 90/100. Those macro trends create a near-term window for adoption as teams seek concrete, standard-aligned controls rather than ad hoc processes. To stand out you must focus on low-friction integration with developer toolchains, vendor-neutral cryptographic attestations, and strong mappings to audit requirements — differentiators versus generalized SCA players and point tooling in a medium-competition landscape. Real challenges include the engineering complexity of instrumenting polyglot environments, privacy/IP concerns around captured prompts, and the need to partner with LLM and repo vendors to reduce friction; success will depend on delivering clear ROI through reduced audit time and demonstrable compliance for an initial set of 100–500 pilot customers.

Market Opportunity

Lost AI Code Provenance — capture chain-of-custody for generated code targets a $12.0B = 1,000,000 developer orgs x $12K ACV (global orgs building software needing provenance/compliance) total addressable market with medium saturation and a year-over-year growth rate of 20% (developer security & supply-chain tooling CAGR; elevated by AI adoption).

Key trends driving demand: AI-generated code adoption -- Rapid rise in LLM-assisted coding increases unknown provenance incidents and audit needs.; Supply-chain security focus -- Organizations are investing in SBOMs and provenance after high-profile breaches.; Regulatory pressure -- Upcoming AI and software-supply-chain regulations push for auditable lineage and accountability.; Dev-tool consolidation -- Dev teams prefer integrated solutions in their existing SCM/CI workflows, favoring plugins and SaaS integrations..

Key competitors include Chainguard, Snyk, GitHub Advanced Security (GitHub / Microsoft), Anchore (and SBOM tools / CycloneDX ecosystem), In-house CI/commit logs / manual audits (adjacent workaround).

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Lost AI Code Provenance — capture chain-of-custody for generated code

Executive Summary

Market Validation

Market Opportunity

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