Joint Common

Joint Common Foundation (JCF)—an introduction

The Joint Common Foundation (JCF), the premiere artificial intelligence (AI) and machine learning (ML) platform in the Department of Defense (DOD), had a special mention vis-à-vis AI happenings around the Defense Information Systems Agency (DISA).

In a news report, DISA explaining its AI efforts within the agency and around the DOD mentioned that of three platforms for AI and ML development at the JCF it was using two.

According to the Chief Digital Artificial Intelligence Office (CDAO), the Joint Common Foundation is “a secure cloud-based AI development and experimentation environment that delivers critical tools and capabilities to support the DoD’s pursuit of an AI-ready force.”

The JCF, which reached its Initial Operating Capability in March 2021, is a cloud-enabled platform for experimenting, developing and fielding powerful, secure and reliable AI-enabled software capabilities.

The JCF is being built by a network of partners across the DOD including close cooperation with the U.S. Air Force’s Platform One, which is the Federal Government’s first DevSecOps enterprise-level service.

“The DevSecOps capabilities that the JCF brings not only solves software integration challenges, it also provides developers access to high value datasets and reusable code libraries so that no project has to start from scratch. Best of all if you’re developing AI software on the JCF the baked-in cyber security tools and processes will provide your application a much faster path to a continuous authority to operate,” said Col Sang D. Han, Chief of Infrastructure and Platforms, Joint Artificial Intelligence Center (JAIC).

As per this one page document, JCF is an enterprise cloud development environment equipped with modern DevSecOps practices and repositories for AI/ ML development and it lowers the barriers to entry and speeds the delivery of AI capabilities. The document also reads that JCF provides a Zero Trust security approach to maintain the confidentiality and integrity of data.

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