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
AI Engineering: Ask Us Anything About Building AI Better
September 22, 2021 • Webinar
Matt GastonRachel Dzombak
In this webcast, Rachel Dzombak and Matt Gaston take your questions and discuss what is needed to create, deploy, and maintain AI systems we can trust.
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Intrusion Analysis and Threat Hunting with Open Source Tools
September 15, 2021 • Video
Josh Stroschein (Open Information Security Foundation - OISF)
In Intrusion Analysis and Threat Hunting with Open Source Tools, you will learn how to dig deep into network traffic to identify key evidence that a compromise has occurred, deal with new forms of attack, and search for evidence of breaches.
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Introduction to Data Science - Concepts & Techniques
September 15, 2021 • Video
Andrew Fast, PhD (CounterFlow AI)
This course provides an accessible introduction to foundational data science concepts, terminology, and approaches using cybersecurity examples and use cases.
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Collecting Wire Data at Household Speeds
September 15, 2021 • Video
With a focus on network defense, this talk will review some of the ways that have been used to collect, collate, and analyze wire data and other data on the speaker’s home network.
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Cybersecurity Data Science (CSDS): Emerging Trends
September 15, 2021 • Video
Scott Mongeau (SAS)
Cybersecurity Data Science (CSDS) encompasses the rapidly growing practice of applying data science to prevent, detect, and remediate cybersecurity threats.
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Improving Cyber Security Operations Through Security Data Discipline
September 15, 2021 • Video
Security Data Discipline is an analytical framework that helps security teams collect and use the right data to defend networks more effectively.
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