Software Engineering Institute

SEI Releases AI Engineering Practices to Accelerate Mission-Capable AI

The twelve foundational practices for decision makers describe the groundwork for turning AI capability into mission value.
Software Engineering Institute

SEI CERT Division Leadership Lends Emerging Technology Insights to Cyber-Risk Oversight Handbook

Gregory Touhill, CERT Division Director, and Matthew Butkovic, technical director of cyber risk and resilience, co-authored tools for corporate boards dealing with quantum computing, AI, and other ...
Software Engineering Institute

SEI Launches Leadership in AI for Cybersecurity Application Workshop

This training teaches analysts, developers, engineers, and leaders to build an end-to-end AI solution and consider how it could realize value for their organization.
sei.cmu

AI-Powered Memory Safety with the Pointer Ownership Model

Svoboda, D., and Flynn, L., 2025: AI-Powered Memory Safety with the Pointer Ownership Model. Carnegie Mellon University, Software Engineering Institute's Insights ...
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Non-DoD Work Sponsor User Guide

The Software Engineering Institute (SEI) is operated and managed by Carnegie Mellon University (CMU) as a Federally Funded Research and Development Center (FFRDC) under Air Force (AF) contract number ...
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 ...
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Measurement Challenges in Software Assurance and Supply Chain Risk Management

Mead, N., Woody, D., and Hissam, S., 2024: Measurement Challenges in Software Assurance and Supply Chain Risk Management. Carnegie Mellon University, Software ...
sei.cmu

Applying Large Language Models to DoD Software Acquisition: An Initial Experiment

Schmidt, D., and Robert, J., 2024: Applying Large Language Models to DoD Software Acquisition: An Initial Experiment. Carnegie Mellon University, Software Engineering ...
sei.cmu

Considerations for Evaluating Large Language Models for Cybersecurity Tasks

Generative artificial intelligence (AI) and large language models (LLMs) have taken the world by storm. The ability of LLMs to perform tasks seemingly on par with humans has led to rapid adoption in a ...
sei.cmu

Applying the SEI SBOM Framework

Woody, D., 2024: Applying the SEI SBOM Framework. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed April 28, 2026, https://doi ...
sei.cmu

Insider Threat Vulnerability Assessment

The Insider Threat Vulnerability Assessment (ITVA) is an evidence-based, capability-level assessment. ITVA is designed to measure an organization's preparedness to prevent, detect, and respond to ...
sei.cmu

The Seven Virtues of Reconciling Agile and Earned Value Management (EVM)

Wilson, S., Place, P., and Korzec, K., 2023: The Seven Virtues of Reconciling Agile and Earned Value Management (EVM). Carnegie Mellon University, Software ...