The industry standard for software composition analysis and open-source supply chain security.
Black Duck (now an independent entity following its divestiture from Synopsys in late 2024/2025) remains the premier Software Composition Analysis (SCA) platform for the 2026 enterprise landscape. Its technical architecture is built around the Black Duck KnowledgeBase™, a massive repository of open-source metadata covering over 5 million projects and 20 years of history. In 2026, Black Duck has evolved beyond simple signature matching to incorporate AI-driven snippet analysis and behavioral detection for malicious packages. It serves as a critical component in the Software Development Life Cycle (SDLC) by automating the identification, prioritization, and remediation of open-source vulnerabilities and license compliance risks. The platform is specifically engineered to handle the complexity of modern supply chains, providing automated Software Bill of Materials (SBOM) generation that adheres to global regulatory standards like Executive Order 14028. Its ability to perform multifactor scanning—ranging from binary analysis to package manager inspection—ensures that shadow open source is identified even when traditional package manifests are missing. This positioning makes it the go-to solution for high-stakes environments such as M&A due diligence, financial services, and critical infrastructure.
Black Duck (now an independent entity following its divestiture from Synopsys in late 2024/2025) remains the premier Software Composition Analysis (SCA) platform for the 2026 enterprise landscape.
Explore all tools that specialize in detect open-source vulnerabilities. This domain focus ensures Black Duck delivers optimized results for this specific requirement.
Explore all tools that specialize in open source vulnerability detection. This domain focus ensures Black Duck delivers optimized results for this specific requirement.
Combines package manager inspection, signature scanning, and snippet matching to find code even without dependency manifests.
A proprietary database updated daily with data from over 5 million open source projects.
Analyzes compiled binaries to identify open-source components without requiring access to source code.
Automated logic to trigger build failures or notifications based on license, vulnerability severity, or component age.
A unified intelligent agent that automatically chooses the best scanning method for the environment.
Freezes a software bill of materials and continues to monitor it for new vulnerabilities (NVD) even after the build is finished.
Uses behavioral analysis to flag packages that exhibit suspicious activities like data exfiltration or credential harvesting.
Provision the Black Duck server instance (Cloud or On-Premise).
Install the Black Duck Detect (unified scanning agent) on build runners.
Authenticate using a secure API Token generated from the User Profile.
Configure project parameters and scan targets in the 'application-id' settings.
Execute an initial signature scan to establish a baseline Bill of Materials (BOM).
Map detected components to the Black Duck KnowledgeBase for vulnerability enrichment.
Define corporate policies for license types (e.g., forbidding AGPL) and security thresholds.
Integrate with Jira or ServiceNow for automated remediation ticket creation.
Enable 'Rapid Scan' for developer IDEs to catch issues pre-commit.
Schedule periodic automated SBOM exports for regulatory compliance.
All Set
Ready to go
Verified feedback from other users.
"Users praise the depth of the KnowledgeBase and its ability to find snippets, but some find the UI and initial configuration complex."
Post questions, share tips, and help other users.
AI-powered application security that remediates vulnerabilities before they can be exploited.
Design, document, and build APIs faster.
Digital developers who are actually easy to work with.
Open Source LLM Engineering Platform
The Open-Source Framework for Reinforcement Learning in Quantitative Finance.
Enterprise-grade Python library for modular backtesting and quantitative financial market analysis.
