SBOM 3
Predicts and prevents supply-chain attacks via metadata-driven analysis.
Trace-AI is a platform designed to predict and prevent supply-chain attacks. It achieves this through metadata-driven analysis of open-source dependencies, registries, and maintainer activity, without requiring access to source code. The service provides real-time Software Bill of Materials (SBOMs), exploit-aware risk scoring, license compliance, and vendor visibility. Built by experienced engineers, Trace-AI aims to help teams ship fast and securely, offering transparency through its open and auditable ZSBOM model.

Qwiet AI provides AI-powered application security solutions for faster, more accurate code protection.
Qwiet AI offers cutting-edge solutions for natural language processing and AI-driven insights, revolutionizing data analysis. It secures code with AppSec AI Agents, providing complete insight and instant AI-powered fixes. Qwiet AI accelerates secure code development, reducing false positives and remediation time. It delivers comprehensive SAST, SCA, and secrets scans in a single scan, providing verified code fixes.

Firmware security platform for supply chain risk management and vulnerability detection.
Binarly’s Transparency Platform offers firmware security for supply chain risk management. It provides visibility into threats and recommendations on remediation. The platform helps proactively manage vulnerabilities, detect known and unknown vulnerabilities, identify transitive dependencies, detect malicious code, and resolve vulnerabilities quickly. It also helps understand release changes, maintain continuous assessment and reporting, and ensure license compliance and cryptographic security.