The study explores the risks and tradeoffs when adapting enterprise-IT security and zero trust principles to weapon systems.
Benitez Preciado, M., 2023: Software Isolation: Why It Matters to Software Evolution and Why Everybody Puts It Off. Carnegie Mellon University, Software Engineering ...
DeCapria, D., 2025: DataOps: Towards More Reliable Machine Learning Systems. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Cassidy, T., and CERT Insider Threat Center, T., 2018: Substance Use and Abuse: Potential Insider Threat Implications for Organizations. Carnegie Mellon University ...
The SEI is participating at the SciTech Forum 2026 ...
Ruefle, R., 2017: Critical Asset Identification (Part 1 of 20: CERT Best Practices to Mitigate Insider Threats Series). Carnegie Mellon University, Software ...
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.
Schmidt, D., and Robert, J., 2024: Applying Large Language Models to DoD Software Acquisition: An Initial Experiment. Carnegie Mellon University, Software Engineering ...
Shevchenko, N., 2020: An Introduction to Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Wassermann, G., and Svoboda, D., 2023: Rust Vulnerability Analysis and Maturity Challenges. Carnegie Mellon University, Software Engineering Institute's Insights ...