Security News > 2023 > November > NetRise Trace utilizes AI to Identify compromised software assets
This new solution allows users to identify and validate compromised and vulnerable third-party and proprietary software assets using AI-powered semantic search for the first time.
Trace highlights affected assets, files, and packages utilizing natural language, mapping their intricate relationships across the entire software supply chain without the need for a scanning mechanism.
AI-powered search: Semantic and keyword-based search for all files, operating system configurations, and vulnerabilities across all assets using AI. Supply chain introspection & origin tracing: Discover and trace the origin of code and risk back to the third-party or proprietary software packages that introduced it across all assets.
LLM-based vulnerability discovery & validation: Identify vulnerabilities and gauge their impact in the software supply chain using code-based or broad natural language queries, validating issues across an organization's firmware, software, and cyber-physical systems.
A widespread effort across numerous industries, involving both public and private sectors, is underway to discern which assets, devices, and software contain compromised software packages and vulnerabilities.
NetRise addresses these challenges by enabling organizations to trace all impacted assets using a single query.