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 ...
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SEI Launches Leadership in AI for Cybersecurity Application Workshop

This newsletter compiles the latest SEI releases and news about the new CERT Leadership in AI for Cybersecurity Application Workshop; insights on leadership, legacy, and mentors from SEI director and ...
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Transfer of Personal Information Between Countries

Carnegie Mellon University - Software Engineering Institute (“SEI”) is a global institution with operations, campuses, partnerships, and instructional sites in multiple countries. These include the ...
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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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Introducing MLTE: A Systems Approach to Machine Learning Test and Evaluation

Derr, A., Echeverría, S., Maffey, K., and Lewis, G., 2025: Introducing MLTE: A Systems Approach to Machine Learning Test and Evaluation. Carnegie Mellon University ...
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Introduction to MLOps: Bridging Machine Learning and Operations

DeCapria, D., 2024: Introduction to MLOps: Bridging Machine Learning and Operations. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
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An Introduction to Model-Based Systems Engineering (MBSE)

Shevchenko, N., 2024: An Introduction to Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
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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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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 ...
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Application Programming Interface (API) Vulnerabilities and Risks

This report describes 11 common vulnerabilities and 3 risks related to application programming interfaces, providing suggestions about how to fix or reduce their impact. Application programming ...