The CounterIntel and Human Intel Modernization program (PE 0606003A) is a Research, Development, Test, and Evaluation (RDT&E) initiative managed by the U.S. Army. The primary objective of this program is to modernize and enhance the Army's Counterintelligence (CI) and Human Intelligence (HUMINT) capabilities to address evolving threats from foreign intelligence services, international terrorist organizations, and insider threats. The program supports the development of advanced systems, applications, tools, and equipment designed to improve HUMINT collection, management, and operational responsiveness across all echelons of Army operations.
A key goal of the program is the ongoing development and fielding of new CI and HUMINT systems, such as the Atlas platform, which is intended to replace the existing Army Counterintelligence Operations Portal. Atlas is being designed to support force protection by integrating and analyzing multiple data sources to detect behaviors indicative of espionage, national security compromises, and other insider threats.
The program also includes the continued development of the CI and HUMINT Software (CHS) system, which will be integrated into the CI and HUMINT Equipping Program for Army units at the Corps level and below, replacing the legacy Automated Reporting Computer System.
Another significant component is the Castle Keep Portal, which serves as the Army's enterprise solution for automating workflow services, Sensitive Compartmented Information (SCI) program reporting, metrics, analysis, and information sharing. The portal is designed to protect classified information within the Army and across the broader Intelligence Community, enhancing the security and efficiency of intelligence operations.
The program emphasizes the development of the Multi-Source Data Fusion Platform, which aims to curate and integrate CI and HUMINT data with the Army's Identity Intelligence architecture. It focuses on establishing application programming interfaces (APIs), leveraging and training Artificial Intelligence/Machine Learning (AI/ML) tools, and developing new workflows and user interfaces. The platform supports the Military Threat Actor knowledge base and Defense Watchlisting activities, enabling timely and accurate identification and tracking of persons of interest across Army CI, HUMINT, and Intelligence and Information (I2) capabilities.
In FY 2026, the program will continue to support the development and testing of software code for Atlas and CHS, with a focus on integrating new algorithms that can analyze multiple data sources. These efforts are intended to enhance the Army's ability to record, identify, sort, and prioritize behaviors that may indicate espionage or other national security threats, as well as improve the management and reporting of HUMINT operations at all levels.
Additionally, the program includes support for Scalable GEOINT, which is focused on modernizing the Army's Geospatial Intelligence (GEOINT) analysis capabilities. This initiative aims to provide scalable, virtualized, cloud-based, and AI/ML-enabled GEOINT tools to analysts throughout the Army, reducing the need for physical access to specialized equipment and enabling more agile and cost-effective support for Large Scale Combat Operations (LSCO) and Multi-Domain Operations. Details on specific GEOINT efforts are available at higher classification levels.