ARGUS AI Supply Chain Interference
Description
Identify potential risks in the supply chain.
Detailed example
Data analytics, reports, summaries, maps relationships, knowledge graphs
AI / analytics pattern
Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
As a specialty-focused information resource, ARGUS AI Supply Chain Influence’s core strength is its ability to collect, organize, and summarize open-source information relating to suppliers.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Data is collected on a regular basis from a variety of sources and contains information such as regulatory filings, press releases, company websites and surveys, call transcripts, prospectuses, trade publications, government records, and exchanges. Business filings and regulatory information are sourced from official government and industry sources. Media-derived information is scraped from news websites.