Sigma Defense to Build SUNet 2.0 Prototype for Defense AI Work

July 27, 2026
Sigma Defense has been selected to deliver a SUNet 2.0 prototype for the U.S. Department of War. The six month effort will produce a Minimum Viable Product for AI and machine learning development, data operations, secure collaboration, governance, and technology integration.

Sigma Defense has been selected to deliver a SUNet 2.0 prototype for the U.S. Department of War, the company announced in a press release.

SUNet 2.0, short for Secure Unclassified Network, is planned as a secure and governed environment for artificial intelligence and machine learning development, data collaboration, mission partner integration, technology testing, and future operational mission applications.

Under the initial six month effort, Sigma Defense will deliver a production representative Minimum Viable Product. The prototype is intended to let the government evaluate core capabilities for AI and machine learning development, data operations, secure collaboration, governance, and technology integration.

The prototype is the first phase of the program and may lead to a later production effort. Sigma Defense said its proposed platform is designed to keep government control over governance, identity, security, data, and operations.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Defense AI Brief or Daily AI Brief.

Also, consider following us on social media:

Defense AI Brief AI Brief AI Brief (X)

More from: Defense

07/27
Pelico Secures AE Ventures Investment for Aerospace Manufacturing AI
07/27
Skydio Adds X10, Dock for X10, and R10 to Blue UAS List
07/27
HDT Robotics Joins U.S. Army Autonomous Logistics Project
07/27
Ultra Maritime Demonstrates Underwater Drone Detection at U.S. Navy Exercise
07/23
Pelico to Support Boeing C-17 Maintenance with AI Platform

Subscribe to Defense AI Brief

Your weekly intelligence briefing on the technology shaping modern warfare and national security.

AI Token Webinar

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more

You May Also Like