The most complete open source knowledge base — delivered as data
Real-time, developer-first software composition analysis — modular, API-driven intelligence, seamlessly integrated into your existing workflows.
Powered by open source. Trusted by global enterprises.
One analysis. Multiple dimensions of risk.
SCANOSS performs a single, deep analysis of your source code using snippet-level detection. That single analysis is then enriched with multiple risk dimensions, each exposed through a specialised dataset.
Why SCANOSS sees what other tools miss
The entire open source world — searchable, even when it disappears from the internet.
The SCANOSS Knowledge Base is a continuously updated archive of public open source code at snippet granularity. When a project is modified, abandoned, relicensed, or deleted from GitHub, the original code is still in our KB — and still searchable years later. That permanence is what lets enterprise governance teams answer questions about code that no longer exists in its original form, including the code AI coding assistants reproduce from training data that’s since been taken down.
Snippet-level detection for dependencies and the code around them.
High Precision Folder Matching identifies declared dependencies and the reused, copied, or modified open source dependency files miss entirely. The KB makes the matching possible; snippet-level detection is how that depth gets surfaced in real codebases.
Findings are reviewable with traceable evidence.
Detected matches can be inspected against upstream sources using Code Compare. Reviewers accept, reject, or override findings with defensible documentation — the audit trail enterprise governance requires.API-first delivery into your existing stack.
No new platform to operate. Consume SCANOSS intelligence inside the tooling your teams already use — surfaced where governance decisions are made.Reliable in complex enterprise codebases.
Matching thresholds and parameters are tunable for recall and precision. Proven across large, legacy, and heavily modified repositories in regulated industries — automotive, telecoms, banking, defence.Choose the risk intelligence you need
SCANOSS helps teams answer concrete risk and compliance questions without changing how they build, ship, or govern software.
Licence & IP compliance confidence
Identify all open source in your codebase — including copied, modified, or AI-generated code — and understand the licensing obligations that apply before release or audit.
Cryptographic exposure & regulatory readiness
Detect and classify cryptographic algorithms and deprecated primitives embedded in your software to support export controls, regulatory reviews, and post-quantum readiness planning.
AI governance, AIBOM & AI act readiness
Inventory AI/ML artifacts in your software — produce standards-compliant AIBOMs for procurement and regulators.
Vulnerability context beyond dependency manifests
Link reused and undeclared code to known vulnerabilities using trusted advisory sources, prioritised by how code is actually reused.
Proven in complex, real-world software environments.
SCANOSS is used by engineering organisations operating complex, long-lived codebases — where dependency-only approaches don’t provide sufficient visibility.
Global video game company — legal had imposed an organisation-wide ban on AI-assisted coding after traditional SCA tools failed to identify small or modified open source fragments generated by AI. SCANOSS Code Compare integrated into pre-commit hooks, surfacing matches developers could review side-by-side. Within one month, legal lifted the ban.
Automotive software supplier — needed visibility into open source inside both native car apps and Internal Combustion Engine systems built on a brand platform. SCANOSS detected undeclared open source and dependencies, configured per-licence policy checks in GitHub Actions, and delivered Markdown Policy Check reports as workflow artifacts. Full embedded software compliance within three months.
SIOS Technology — adopted SCANOSS Winnowing-based fingerprinting (WFP) to detect AI-generated code fragments even when variable names and structure had been changed. Integrated into CI/CD via GitHub Actions. Achieved up to 97.9% automated detection accuracy on files ≥1,000 lines, with 99% accuracy on minor AI modifications.
Fits where your governance teams already work.
No new platform to operate. SCANOSS provides verifiable software intelligence inside the tools where governance decisions are already made.
Legal, compliance & audit.
Structured licence and obligation data feeds into existing compliance dashboards, SBOM platforms, and audit-evidence portals — defensible documentation on demand.
For Open Source Programme Offices.
Defensible open source visibility across declared, undeclared, and AI-introduced code, with traceable evidence that holds up in front of legal, audit, and procurement.
DevSecOps & engineering.
Integrate via CI/CD, pre-commit hooks, IDE plugins, or CLI. Findings appear where engineers already review code — no separate review surface, no parallel workflow.
Find what's hiding in your codebase.
Get a SCANOSS assessment of one of your repositories — undeclared open source, cryptographic exposure, and AI artifacts surfaced into a single review-ready report. No pipeline changes, no platform install. We’ll walk you through the findings.