AI Semantic Search for Cybersecurity Supply Chain

Summary

Enabled intent-driven search across compiled software and firmware to uncover hidden vulnerabilities and misconfigurations. Used semantic analysis and natural language queries to trace risks across interconnected assets. Enhanced visibility into third‑party and proprietary components without relying solely on signature‑based scans. Improved investigation speed, risk validation, and overall software supply chain resilience.

Use Cases by Industry

Use Cases by Function