sei.cmu

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 ...
Software Engineering Institute

SEI Study Analyzes Applicability of Security and Zero Trust Principles to Weapon Systems

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

DataOps: Towards More Reliable Machine Learning Systems

DeCapria, D., 2025: DataOps: Towards More Reliable Machine Learning Systems. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
sei.cmu

AIAA SciTech Forum 2026

The SEI is participating at the SciTech Forum 2026 ...
Software Engineering Institute

AAAI Symposium to Present the Latest on Engineering Safety-Critical 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.
sei.cmu

Mutation-Based Safety Testing for Autonomy: MOBSTA

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.
sei.cmu

10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition

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

Artificial Intelligence Data Quality Workshop to Present AI Engineering Best Practices

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