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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.

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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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Headshot of Tyler Brooks

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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Headshot of Nathan Van Houdnos

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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msconiers

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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Rachel Brower-Sinning

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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Headshot of Allen Householder

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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