The study explores the risks and tradeoffs when adapting enterprise-IT security and zero trust principles to weapon systems.

The Software Engineering Institute is a leader in researching complex solutions, connecting AI, cyber, and software strategies for maximum impact. Since 1984, the SEI has been one of only 10 Federally ...

For the Department of Defense (DoD) to safely and quickly adopt new software capabilities, especially autonomous systems, we must improve every step in the development and engineering process to ...

The SEI is participating at the SciTech Forum 2026 ...

In this webcast, Brett Tucker, Dan Justice, and Matthew Butkovic discuss the challenges to be expected with the realization of quantum computing capabilities.

At the November event, co-organized by the SEI, artificial intelligence experts will present case studies and research and development in building AI systems for safety-critical applications.

The October 23 virtual workshop will feature presentations on dataset generation, exploration, preparation, and testing for ensuring data quality when training AI systems.

Robert, J., and Schmidt, D., 2024: 10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition. Carnegie Mellon University, Software ...

Application programming interfaces (APIs) are the engine behind most internet traffic. Recent vulnerabilities due to design flaws and incorrect deployments have made APIs a target for attacks.

MOBSTA is a robustness testing tool for ROS that tests autonomous systems under realistic but rare conditions that are not represented in training data and difficult to replicate during field testing.