The SEI publishes extensively to connect with and deliver our most recent advancements in software engineering, cyber, artificial intelligence, and acquisition transformation to the software community. We publish our research in elite journals, and we also produce technical reports, white papers, webcasts, and much more—all of which we make available in our digital library. We’ve collected thousands of publications over decades of research that you can download today.
This report details a threat modeling method for lifecycle cybersecurity risk management, from early design onward, uniting U.S. Air Force and other cybersecurity sources.
This paper describes how GHOSTS evolved from simple activity generation into a platform for simulating complex human, organizational, and machine behavior.
This report examines failures that unused code can cause, including discussions of real examples using C/C++, and discussions of other languages as well.
This report provides a comprehensive overview of how to integrate cyber threat intelligence into cybersecurity mission rehearsals, focusing on planning, assessment, and evaluation.
This report provides guidance to help organizations' evaluation solutions to manage secrets when using Kubernetes on Microsoft Azure.
This report presents Agile Architecture Risk Management and Continuous Risk Management to identify S/W development risks before production and project failure.
The appeal of applying AI to MBSE is apparent. This post explores how to integrate AI without weakening engineering rigor.
Read more about Native AI Integration for Model-Based Systems Engineering: Three Layers that Make It Work>This post explores how preliminary vulnerability scanning creates structured time-series data ideal for visualization, transforming scan results into clear, actionable security trends.
Read more about Visualizing Infrastructure Security at Software Project Inception>This post presents a quality model for machine learning components that serves as a guide for requirements elicitation and negotiation.
Read more about A Quality Model for Machine Learning Components>This post introduces electronic warfare and CyberOps, the drivers behind their convergence, and key issues in their use on the battlefield.
Read more about A Guide to the Convergence of Electronic Warfare and Cyber Operations>
The SEI builds relationships with software vendors and other organizations to coordinate prompt responses to possible risks or threats that arise from software vulnerabilities. Over the years, we have built an extensive vendor network, and we work as a trusted broker to identify, disclose, and mitigate vulnerabilities. As part of this effort, we publish vulnerability notes to keep the community informed and to enable effective and swift mitigation.
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![OG Image [native-ai-integration-for-model-based-systems-engineering-three-layers-that-make-it-work]: Native AI Integration for Model-Based Systems Engi](/media/images/og_20260903_101033_ff5852a5.max-500x263.format-webp.webp)
