Securing the R&D edge – Digital Science

How explainable AI and interconnected research intelligence protect national innovation against emerging geopolitical threats

U.S. federal mandates now define AI as critical national infrastructure, requiring responsible and transparent deployment^{. However, many agencies still rely on manual oversight tools ill-equipped for an era where adversaries weaponize open science. Digital Science addresses this by embedding auditable AI into its platforms, enabling government bodies to detect research risks and enforce integrity.}

By leveraging an AI stack built for federal compliance, agencies can transform fragmented data into strategic intelligence^{. This system automates audits and maps global researcher networks to flag suspicious affiliations or undisclosed funding. Ultimately, these tools empower leaders to align scientific investments with national security priorities while maintaining rigorous oversight.}

Highlights

• Neutralizing research threats: Detects undisclosed affiliations and talent programs used by adversaries to bypass export controls.
• Automated federal oversight: Reduces manual workloads by using AI to map global networks and flag high-risk researcher profiles.
• Secure AI infrastructure: Features a FedRAMP-aligned stack designed for sensitive government data and explainable NLP outputs.
• Horizon scanning: Identifies emerging technology trends and “weak signals” to stay ahead of dual-use research risks.
• Governed innovation: Implements human-in-the-loop GenAI for secure literature synthesis and proposal evaluation