

FossID is a Software Composition Analysis (SCA) platform designed to identify third-party and open-source components within a codebase. It uses a language-agnostic scanner and a knowledge base to detect components, including those that are copy-pasted or generated by AI, down to fragments as small as six lines.
The tool is built for enterprise software teams, DevOps, and compliance or legal officers. It supports the identification of security vulnerabilities and legal license restrictions associated with both declared and undeclared open-source software.
Beyond scanning, the platform supports Software Bill of Materials (SBOM) management and offers deployment options, including on-premise or air-gapped environments. It also provides a CLI for blind scanning, which allows for analysis without requiring the original source code.
Buyers should confirm specific technical requirements, as the tool is geared toward enterprise environments and offers accompanying professional auditing services.
Detects open-source components and binaries across various programming languages using fuzzy hashing.
Identifies code snippets generated by AI coding assistants as small as six lines.
Supports ingesting supplier SBOMs and exporting NTIA-compliant SBOMs in SPDX or CycloneDX formats.
A CLI-based scanning method that supports auditing without requiring access to the target's original source code.
Helps teams define and enforce open-source policies to alert on unapproved components or incompatible licenses.
Supports cloud, hybrid, on-premise, and air-gapped environment installations.
Supports the audit process during mergers and acquisitions to identify license and copyright compliance and security risks.
Identifying AI-generated code snippets to help manage associated security and license compliance risks.
Scanning for proprietary code fragments to help prevent accidental exposure when contributing to open source.
Generating and managing NTIA-compliant SBOMs to support security and regulatory requirements.
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FossID uses fuzzy hashing, making it language-agnostic. It can identify matches in essentially any language for which data exists in its knowledge base.
Yes, FossID is designed to identify AI-generated code snippets as small as six lines.
It uses one-way hash sums (digital fingerprints) so that the actual source code does not leave the client environment; only the hashes are transmitted to the server.
A blind scan is a process that allows the tool to audit software without requiring access to the target's original source code, which is used during M&A due diligence.
Source category: Software Development
Source subcategory: Code Analysis
FossID is an enterprise Software Composition Analysis tool used to detect open-source and AI-generated code within software projects. It supports DevOps and legal teams in managing license compliance and generating SBOMs.