Black Duck®, a leader in applied AI for application security, is raising the stakes with the launch of Black Duck Signal™, a new agentic AI solution designed to secure software at the speed of AI-powered development. Signal leverages two decades of Black Duck expertise and combines it with large language model (LLM)-driven software analysis to autonomously detect and remediate vulnerabilities across code, binaries, and running applications.
As organizations accelerate adoption of AI coding assistants and agentic workflows, traditional security tools often lag behind. Signal is purpose-built for AI-native development, using AI agents and Black Duck MCP services to automatically identify, prioritize, and fix vulnerabilities, while reducing false positives and eliminating the noise that plagues conventional solutions.
AI Meets Enterprise-Grade Security
Unlike generic AI code analyzers, Signal blends advanced multi-model LLM technology with human-labeled insights from the Black Duck KnowledgeBase™, ensuring context-aware vulnerability detection in real time. Its agentic design supports both developers and security teams, integrating directly with popular AI coding assistants—including Google Gemini, GitHub Copilot, Claude Code, and Cursor—as well as Black Duck’s broader application security suite.
“AI is revolutionizing how software is built—and with Signal, Black Duck is redefining how you secure it by completely eliminating the noise of legacy tools,” said Jason Schmitt, CEO of Black Duck. “Developers are moving faster than ever. Signal is the first programming language-agnostic security analysis product to combine LLM-based code analysis with decades of human-labeled security data. It gives developers clarity, confidence, and control to innovate securely—without slowing down.”
Key Features:
- Real-time incremental analysis: Accurate detection of vulnerabilities in new, modified, or existing code
- Seamless AI coding integration: Works with Google Gemini, GitHub Copilot, Claude Code, Cursor, and more
- Agent-driven automation: Role- and task-based AI agents handle complex workflows and risk detection
- Universal language coverage: Supports modern and legacy programming languages
- Automated remediation: Verified code fixes and library patching accelerate secure development
- Supply chain and license compliance: Manage third-party and open-source risks
- Noise reduction and prioritization: Built-in exploitability analysis focuses attention on critical vulnerabilities
- Business logic flaw detection: Identifies application-level zero-days beyond signature- and rule-based methods
Signal is currently available to existing customers and design partners, with broader availability expected in early 2026.
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