sei.cmu

An Introduction to Model-Based Systems Engineering (MBSE)

Shevchenko, N., 2020: An Introduction to Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
sei.cmu

The Challenge of Adversarial Machine Learning

Churilla, M., VanHoudnos, N., and Beveridge, R., 2023: The Challenge of Adversarial Machine Learning. Carnegie Mellon University, Software Engineering Institute's ...
sei.cmu

Mission Thread Analysis Using End-to-End Data Flows - Part 1

Firesmith, D., 2019: Mission Thread Analysis Using End-to-End Data Flows - Part 1. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
sei.cmu

Transforming Mission Through Volumetric Reconstruction

The Software Engineering Institute (SEI) is conducting research to leverage state-of-the-art generative AI techniques to allow warfighters to create digital twins of the physical world at the time and ...
sei.cmu

Using Popular LLMs for Static Analysis Alert Adjudication: For the 2025 DoW AI/ML Technical Exchange Meeting

On January 15, 2026, Lori Flynn and Will Klieber presented this session at the Department of War (DoW) Artificial Intelligence/Machine Learning (AI/ML) Technical Exchange Meeting, in the Security and ...
sei.cmu

Best Practices for Network Border Protection

Kartch, R., 2017: Best Practices for Network Border Protection. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed February 4 ...
sei.cmu

Four Types of Shift Left Testing

Firesmith, D., 2015: Four Types of Shift Left Testing. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed February 4, 2026, https ...
sei.cmu

Building an Insider Threat Program

This seven (7) hour online course provides a thorough understanding of the organizational models for an insider threat program, the necessary components to have an effective program, the key ...
sei.cmu

Assurance Cases and Confidence

Weinstock, C., 2013: Assurance Cases and Confidence. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed February 9, 2026, https ...
sei.cmu

A Technique for Decompiling Binary Code for Software Assurance and Localized Repair

Klieber, W., 2021: A Technique for Decompiling Binary Code for Software Assurance and Localized Repair. Carnegie Mellon University, Software Engineering Institute's ...
sei.cmu

How Easy Is It to Make and Detect a Deepfake?

Bernaciak, C., and Ross, D., 2022: How Easy Is It to Make and Detect a Deepfake?. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
sei.cmu

Rust Software Security: A Current State Assessment

Sible, J., and Svoboda, D., 2022: Rust Software Security: A Current State Assessment. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...