Publications
The SEI provides access to more than 5,000 documents from three decades of research on best practices in software engineering. These documents include technical reports, presentations, webinars, podcasts, blogs, and other searchable materials. You can search our database to find publications that span the SEI's history as well as current research.
SEI Digital Library
Our digital library holds over 30 years of publications that you can browse by topic, author, and publication type.
New in Publications
Best Practices and Lessons Learned in Standing Up an AISIRT
September 12, 2024 • Podcast
Lauren McIlvenny
In the wake of widespread adoption of AI practices in critical infrastructure, best practices and lessons learned in standing up a AI Security Incident Response Team...
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Embracing AI: Unlocking Scalability and Transformation Through Generative Text, Imagery, and Synthetic Audio
August 28, 2024 • Webcast
Tyler Brooks, Shannon Gallagher, Dominic A. Ross
In this webcast, Tyler Brooks, Shannon Gallagher, and Dominic Ross aim to demystify AI and illustrate its transformative power in achieving scalability, adapting to changing landscapes, and driving digital...
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Counter AI: What Is It and What Can You Do About It?
August 27, 2024 • White Paper
Nathan M. VanHoudnos, Carol J. Smith, Matt Churilla, Shing-hon Lau, Lauren McIlvenny, Greg Touhill
This paper describes counter artificial intelligence (AI) and provides recommendations on what can be done about...
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3 API Security Risks (and How to Protect Against Them)
August 27, 2024 • Podcast
McKinley Sconiers-Hasan
McKinley Sconiers-Hasan discusses three API risks and how to address them through the lens of zero...
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Using Quality Attribute Scenarios for ML Model Test Case Generation
August 21, 2024 • Conference Paper
Rachel Brower-Sinning, Grace Lewis, Sebastián Echeverría, Ipek Ozkaya
This paper presents an approach based on quality attribute (QA) scenarios to elicit and define system- and model-relevant test cases for ML...
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Lessons Learned in Coordinated Disclosure for Artificial Intelligence and Machine Learning Systems
August 20, 2024 • White Paper
Allen D. Householder, Vijay S. Sarvepalli, Jeff Havrilla, Matt Churilla, Lena Pons, Shing-hon Lau, Nathan M. VanHoudnos, Andrew Kompanek, Lauren McIlvenny
In this paper, the authors describe lessons learned from coordinating AI and ML vulnerabilities at the SEI's...
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