NSF SECURE Analytics engages in four core areas of work, all focused on helping universities, research organizations, businesses, and national laboratories make more informed decisions about research security:
Landscape
Analysis
Ongoing research into patterns of risk, threat types, and actors that challenge U.S. research
Risk
Modeling
Developing methods and models that help organizations assess and understand their specific risks
Tools &
Technology
Building AI-powered platforms and datasets that turn complex information into actionable intelligence
Training &
Resources
Translating findings into practical reports, decision-support materials
What We Deliver
NSF SECURE Analytics delivers tools and resources to stakeholders across the research community to enhance their ability to make risk-based decisions.
Data-driven analysis
Powered by large-scale datasets
on publications, patents, government watchlists, and international research activity
AI-driven platforms
AI-driven platforms that transform data into easy-to-use insights and decision-support tools
Purpose-built solution
A purpose-built solution for the research community that operationalizes expert trade-craft into consistent, scalable best practices
Stakeholder training
Stakeholder training on identifying, assessing, and responding to research security risks
Reports and advisories
Reports and advisories on emerging research security risks across critical technology areas