Gartner notes that Black Duck “demonstrates strong understanding of regulated software supply chains, emphasizing defensible SBOMs, license obligations, and vulnerability disclosure workflows,” enabling customers to “satisfy auditors, regulators, and downstream buyers with evidence-grade artifacts rather than best-effort scans.”

This is not accidental. For more than 20 years, Black Duck has operated at the intersection of software security and regulatory compliance—advising on M&A due diligence, helping companies navigate the EU Cyber Resilience Act, supporting U.S. government SSDF attestation requirements, and generating SBOMs with the completeness and accuracy that auditors and customers demand. When regulators and procurement teams ask for evidence, you need artifacts they can trust. That means SBOMs in SPDX and CycloneDX formats that go beyond basic dependency lists, VEX reports that communicate vulnerability disposition to downstream consumers, and a rigorous audit trail that stands up under scrutiny.

Black Duck’s software supply chain security solutions exist because we recognize that meeting regulatory requirements takes more than pointing a tool at source code. It takes decades of experience, a team of dedicated experts, and a methodology proven through thousands of commercial software audits. Those audits are the gold standard for technical due diligence, and they now extend directly to supply chain security.

Gartner recognizes that Black Duck Security Advisories (BDSAs) “combine human curation with AI-assisted research across more than 50 vulnerability sources,” enabling customers to “prioritize true exploit risk and remediation paths with higher confidence than reliance on raw CVE feeds alone.”

This is one of the most consequential differentiators we offer, especially as NIST has scaled back enrichment in the National Vulnerability Database (NVD) to fewer than 10% of reported vulnerabilities. For roughly 90% of disclosures, the context organizations depend on won’t be there.

BDSAs, powered by the Black Duck Cybersecurity Research Center (CyRC) and ContextAI™, bypass these limitations entirely. Unlike the NVD, which does not consistently verify third-party submissions, CyRC researchers actively validate and enrich vulnerability data across the open source ecosystem, ensuring a continuous stream of high-fidelity intelligence, unaffected by NVD policy changes.

The CyRC ingests more than 2,500 security feeds, maps findings across over 10 million open source components, and publishes BDSAs nearly three weeks ahead of corresponding NVD entries, on average. During active zero-day events, BDSAs are updated hourly, a cadence the NVD has never matched.

BDSAs also go beyond static CVSS scoring. Our advisories provide temporal scores that continuously reflect exploit availability and remediation status, and contextual tags like “Zero-click RCE” and “Malicious code identified” enable instant triage. We deliver remediation guidance that is project-aware, pointing directly to fixed versions, specific commits, viable workarounds, and all impacted components across your environment. And because the CyRC conducts independent research regardless of CVE report status, BDSAs cover more than 3,500 vulnerabilities not listed in the NVD at all.

The result is that Black Duck customers receive faster, richer, and more actionable intelligence, without disruption.

This is visible in outcomes. Black Duck research shows that 60% of organizations performing continuous SBOM-based monitoring remediate critical vulnerabilities within a single day, compared to 45% of organizations overall. That 15-point delta demonstrates the real-world impact of early, actionable intelligence combined with continuous monitoring.

Gartner notes that Black Duck’s “broader workflows remain governance-centric and highly structured, which may not resonate with organizations seeking fully conversational, automation-first, or developer-owned remediation.”

This observation is fair in the context of our traditional SCA and audit heritage. Governance and compliance rigor are our strengths, and they remain non-negotiable for the regulated enterprises that constitute a significant portion of our customer base. But the market’s center of gravity is shifting toward developer-first experiences, and Black Duck Polaris^™ Platform is our definitive answer.

Polaris is our no-compromise, cloud-based AppSec platform built for the speed, scale, and ambition of AI-powered development. It is built explicitly for developer-first workflows: automated bulk SCM onboarding and repository discovery for instant risk profiling, rapid scans triggered by pull requests with results posted directly to PR comments for immediate in-SCM feedback, and full scans on code merges with findings flowing into Jira or ADO for seamless remediation initiation. Polaris reduces findings backlogs by focusing teams on the 5% of issues that drive 95% of risk, eliminating the false-positive noise that makes security findings feel like a tax on developer velocity.

Black Duck Assist™, our AI-powered AppSec assistant, takes developer experience a step further. It combines insights from the CyRC with a powerful LLM to deliver easy-to-understand vulnerability summaries, AI-generated code fix recommendations, and intelligent triage that reduces the analysis burden on security and development teams alike. The Black Duck Security GitHub app extends these capabilities directly into GitHub workflows, enabling bulk repository onboarding, automated SAST and SCA scans on every commit and pull request, automated fix pull requests for vulnerable dependencies, and SARIF reports integrated into GitHub Advanced Security dashboards.

Developer sentiment validates our direction. According to verified customer feedback from UserEvidence, 82% of Polaris users would recommend the platform to a peer. And Black Duck customers consistently highlight that automated CI/CD integrations allow scans to happen without slowing teams down, with a low false-positive rate that keeps developers focused on what matters. One customer noted: “Developer adoption has been strong, and teams report less context switching for security fixes. In practice, this has led to fewer security-related rework stories, better audit readiness through consistent scanning and reporting, and less noise during triage compared to our previous setup.”

The governance depth that Gartner recognizes as our strength doesn’t have to come at the expense of developer experience. Polaris proves they are complementary—and Black Duck Signal™, which I’ll address next, makes that case even more compellingly.

Gartner observes that Black Duck’s “emphasis on comprehensive analysis increases scan duration, data volume, and workflow complexity,” and that “customers operating at high commit velocity or with decentralized teams need to carefully scope scans and adjust CI/CD usage to avoid pipeline friction.”

This is the classic tension in application security: thoroughness versus speed. We refuse to accept it as a permanent trade-off. Polaris’s architecture is designed to make comprehensive analysis fast through concurrent scanning—running SAST, SCA, and DAST simultaneously, with no limit on the number of simultaneous tests, so thoroughness doesn’t become a bottleneck. Rapid scans on pull requests are specifically optimized for high-commit-velocity environments, delivering actionable in-SCM feedback without holding up pipelines.

But the more transformative answer to this challenge is Black Duck Signal, our agentic application security layer that is redefining what “comprehensive” can mean when AI does the heavy lifting.

Traditional tools, however powerful, are fundamentally diagnostic. Signal is designed to be an active participant in your application security program, intelligently automating the find/prioritize/fix workflows that currently consume an enormous amount of security and development team capacity. Signal combines LLMs with ContextAI to provide code analysis, intelligent triage, and AI-generated fix recommendations. It integrates directly into the IDE through AI-coding assistants like Claude Code or GitHub Copilot, using the Code Sight™ IDE Plug-in, or it can be automated in CI/CD workflows with results flowing into Polaris.

Signal’s next phase expands to full software composition analysis, using AI intelligence in combination with Black Duck’s proven scan engines to dramatically simplify accurate SBOM construction across any application type. Rather than replacing the engines that excel at dependency discovery, the AI makes configuring and orchestrating them intelligent and accessible. The result is an “agentic SDLC,” where AppSec shifts from reactive patching to active defense, with dynamic threat modeling, supply chain protection, and agentic penetration testing capabilities emerging in subsequent releases of Signal.

The goal is clear: Cut out the swath of evaluation, prioritization, fix, and retest workload that currently requires human effort at every step, while keeping the human in the loop for sign-off and validation, but not for every diagnostic decision. That is how you maintain comprehensive security coverage at high development velocity.