ARGUS, the flagship data collection, analysis, and reporting platform for NSF SECURE Analytics, integrates research intelligence, natural language processing, and machine learning to deliver actionable insights that help safeguard the U.S. research ecosystem. ARGUS gives research security officers a single, defensible workflow for evaluating research security risk — built by the RSO community, for the RSO community.
What ARGUS Delivers
Defensible Research Security Assessments – Produces a structured, report-ready due diligence workflow that analysts can inspect, understand, and rely on.
Consistent, Explainable Methodology Backed by Federal Guidance – Translates research security risk findings into a unified structure so results are comparable and defensible across cases and institutions.
Built by the RSO Community – Designed hand-in-hand with research security officers to reduce administrative burden rather than add to it.
For questions email ARGUS@secure-analytics.org
Who We Serve
Academic institutions of all sizes · Non-profit research organizations and national laboratories · Small and medium-sized businesses · Research administrators, faculty, and research security professionals
Deliverables
AI-Driven Research Security Platform (ARGUS)
ARGUS, the flagship data collection, analysis, and reporting platform for NSF SECURE Analytics, integrates research intelligence, natural language processing, and machine learning to deliver actionable insights that will help safeguard the U.S. research ecosystem.
Reports and Advisories
Rigorous and empirical advisories that empower the research community to identify and mitigate potential research security risks through timely, actionable information on critical areas of science and technology development with implications for international research collaboration.
Due Diligence Training for ARGUS Risk Assessments
NSF SECURE Analytics due diligence training provides ARGUS users with specific instruction on how to identify, interpret, and respond to bibliometric data reports and other research security risk indicators generated through the platform.
People
The NSF SECURE Analytics team is internationally recognized for building robust academic research security programs and pioneering empirical methods for research on research security.
Kevin Gamache
director
texas A&M University
Allen DiPalma
deputy director
university of pittsburgh
Glenn Tiffert
DEPUTY director
Hoover institution
Ivett Leyva
CO-PI
Texas A&M university
Will Norris
CO-PI
Texas A&M university
Contact us
We appreciate your interest in the NSF SECURE Analytics. If you are interested in getting involved, have a data analytics tool or expertise in a key area as it relates to research security, please reach out to us!