sei.cmu

Software-Defined Warfare: Crossing the Chasm in Two Software Areas

Nielsen, P. (2026, June 23). Software-Defined Warfare: Crossing the Chasm in Two Software Areas. Retrieved June 24, 2026, from https://doi.org/10.58012/9wg2-8778 ...
sei.cmu

The SEI CERT Coding Standard for Fortran

Svoboda, D., 2026: The SEI CERT Coding Standard for Fortran. Software Engineering Institute blog, Accessed June 17, 2026, https://doi.org/10.58012/w9t7-6y96. This ...
sei.cmu

SEI and Accenture Release AI Adoption Maturity Model to Help Organizations Scale AI with Predictable Outcomes

PITTSBURGH, Pa., June 8, 2026—The Carnegie Mellon University Software Engineering Institute (SEI) and Accenture today released the Artificial Intelligence (AI) Adoption Maturity Model, an empirically ...
sei.cmu

Temporal Memory Safety in C and C++: An AI-Enhanced Pointer Ownership Model

In October 2025, CyberPress reported a critical security vulnerability in the Redis Server, an open-source in-memory database that allowed authenticated attackers to achieve remote code execution ...
sei.cmu

SOK: Bridging Research and Practice in LLM Agent Security

Large Language Model agents are rapidly transitioning from research prototypes to deployed systems, raising new and urgent security challenges. Unlike static chatbots, LLM agents interact with ...
sei.cmu

7 Recommendations to Improve SBOM Quality

Tobar, D., Jamieson, J., Priest, M., and Fricke, J., 2025: 7 Recommendations to Improve SBOM Quality. Software Engineering Institute blog, Accessed June 26, 2026 ...
sei.cmu

Measuring AI Accuracy with the AI Robustness (AIR) Tool

Konrad, M., Testa, N., Gates, L., Nolan, C., Shepard, D., Cohen, J., Mellinger, A., Miller, S., and Ludwick, M., 2024: Measuring AI Accuracy with the AI Robustness ...
sei.cmu

Generative AI and Software Engineering Education

Ozkaya, I., and Schmidt, D., 2024: Generative AI and Software Engineering Education. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
sei.cmu

Lessons Learned in Coordinated Disclosure for Artificial Intelligence and Machine Learning Systems

In this paper, SEI researchers incorporate several lessons learned from the coordination of artificial intelligence (AI) and machine learning (ML) vulnerabilities at the SEI’s CERT Coordination Center ...
sei.cmu

Using Large Language Models in the National Security Realm

Shannon Gallagher discusses findings and recommendations from the Mayflower Project and provides additional background information about LLMs and how they can be engineered for national security use.
sei.cmu

The 13 Key Elements of an Insider Threat Program

Costa, D., and Trzeciak, R., 2023: The 13 Key Elements of an Insider Threat Program. Software Engineering Institute blog, Accessed June 26, 2026, https://doi.org/10. ...
sei.cmu

Insider Threat Program Evaluation

The Insider Threat Program Evaluation (ITPE) is an evidence-based, capability-level assessment. The ITPE is designed to benchmark an organization's insider threat program against a reference model ...