Wanted: artificial intelligence (AI), cloud computing, and cyber security for intelligence analysis
Wanted: artificial intelligence (AI), cloud computing, and cyber security for intelligence analysis
Publish Date: 2026-03-03 03:33:00
Source Domain: www.militaryaerospace.com
ROME, N.Y. – U.S. Air Force researchers are approaching industry for enabling technologies that will provide information-sharing capabilities, common operating tools, and a cyber security environment for intelligence operations.
Officials of the Air Force Research Laboratory Information Directorate in Rome, N.Y., have released an advanced research announcement (FA8750-26-S-7001) for the Resilient Analytic Platforms for Intelligence Delivery (RAPID) program.
RAPID seeks to develop cloud computing tools, automating processing workflows, standards, and integration of existing intelligence into consolidated, cyber-resilient dashboards and analysis systems, with a goal of delivering tailored, customer-specific intelligence, analytic capabilities with cyber security.
The aim of the RAPID program is to enable access to data, knowledge-based information, and model-based inference engines using satellite imagery; open-source intelligence; cyber-generated data from network traffic, intrusion detection logs, and malware analysis; signals intelligence (SIGINT); human intelligence; measurement and signature intelligence; automatic identification; and legacy enterprise repositories.
Intelligence fusion
RAPID seeks improvements in intelligence fusion and latency reduction; geospatial-intelligence-derived information correlation; combined intelligence data management; secure system integration and interoperability; security and vulnerability management; assured and resilient cloud computing; secure edge computing for disadvantaged users; data models and ontologies, and synthetic data generation; benchmarking and validation; and organizational compliance and security governance.
Combined intelligence fusion and latency reduction involves new analytic techniques and integrate diverse sensor and intelligence data to produce sophisticated, timely, and actionable intelligence.
The focus is on reducing the time between collecting data and generating actionable intelligence, while…
