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A Decade of GHOSTS in the Machine: From Cyber Range Realism to Cognitive Mission Rehearsal
This paper describes how GHOSTS evolved from simple activity generation into a platform for simulating complex human, organizational, and machine behavior.
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A Quality Model for Machine Learning Components
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Digital Library
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.
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Technical Papers
Unused Code: A Hidden Time Bomb
This report examines failures that unused code can cause, including discussions of real examples using C/C++, and discussions of other languages as well.
Integrating Cyber Threat Intelligence into Cyber Mission Rehearsals
This report provides a comprehensive overview of how to integrate cyber threat intelligence into cybersecurity mission rehearsals, focusing on planning, assessment, and evaluation.
Evaluation of Methods for Managing Secrets for Kubernetes on Microsoft Azure
This report provides guidance to help organizations' evaluation solutions to manage secrets when using Kubernetes on Microsoft Azure.
Managing Architectural Risk During Agile Development
This report presents Agile Architecture Risk Management and Continuous Risk Management to identify S/W development risks before production and project failure.
Instantiating the Error Model Version 2 (EMV2) Annex
The Error Model Annex, Version 2 (EMV2), notation for architecture fault modeling supports safety, reliability, and security analyses as part of the OSATE toolset.
Blog Posts
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>Software-defined warfare is today’s reality for national security, shifting the emphasis in military operations from hardware to software.
Read more about Software-Defined Warfare: Crossing the Chasm in Two Software Areas>Zero trust frameworks tailored to the unique requirements of OT systems are just beginning to emerge. The SEI is pioneering research into the application of …
Read more about Implementing Zero Trust in Operational Technology: A Practical Case Study>Podcasts
This podcast explores the use of LLMs in unclassified environments to rapidly develop tools that accelerate software analysis in classified environments with improved accuracy.
Read more about Breaking Down Barriers: How LLMs Enable Software Analysis in Classified Environments>
This podcast explores the evolution of software-defined warfare and the challenges of implementing software on the battlefield.
Read more about Software-Defined Warfare: Expanding the Frontier>
This podcast explores the Waypoints Framework and how it can help teams visualize their work so they can own their processes.
Read more about From Coordination Chaos to Mission Focus: The Waypoints Framework>
This podcast presents the Evaluation Large Language Models library, which turns evaluation from an ad-hoc process into a repeatable, extensible framework.
Read more about An LLM Evaluation Framework for High-Stakes AI>
Webcasts
Upcoming
Latest webcasts
Experts from the CMU SEI and Accenture share technical insights and lessons learned from maturing AI adoption in complex environments.
Read more about Rethinking and Maturing AI Adoption>
In this webcast, SEI researchers discuss observations and lessons from their application of AI-native software engineering and the study of its use across multiple projects.
Read more about AI-Native Software Engineering: Enduring Principles, New Pace>
In this webcast, SEI researchers discuss the why, what, and how behind metrics that will enable your team to move from “just collecting data” to …
Read more about Software Acquisition Go Bag: Pack Light, Measure Right>
In this webcast, SEI researchers explain how System Theoretic Process Analysis helps organizations build stronger assurances about the safety and security of complex systems, including …
Read more about Ensuring the Safety and Security of AI Systems>
Vulnerability Notes
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.