The study explores the risks and tradeoffs when adapting enterprise-IT security and zero trust principles to weapon systems.
Cassidy, T., and CERT Insider Threat Center, T., 2018: Substance Use and Abuse: Potential Insider Threat Implications for Organizations. Carnegie Mellon University ...
DeCapria, D., 2025: DataOps: Towards More Reliable Machine Learning Systems. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Critical Asset Identification (Part 1 of 20: CERT Best Practices to Mitigate Insider Threats Series)
Ruefle, R., 2017: Critical Asset Identification (Part 1 of 20: CERT Best Practices to Mitigate Insider Threats Series). Carnegie Mellon University, Software ...
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.
The October 23 virtual workshop will feature presentations on dataset generation, exploration, preparation, and testing for ensuring data quality when training AI systems.
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.
Spring, J., 2022: Probably Don’t Rely on EPSS Yet. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 29, 2025, https ...
Firesmith, D., 2019: System Resilience: What Exactly is it?. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 29, 2025 ...
Wassermann, G., and Svoboda, D., 2023: Rust Vulnerability Analysis and Maturity Challenges. Carnegie Mellon University, Software Engineering Institute's Insights ...
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