SEI Digital Library
Latest Publications
For those on the Software Acquisition Pathway (SWP), how do we catch problems before they escalate?
• Video
This short video explains how to catch problems before the escalate for those on the Software Acquisition Pathway (SWP).
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How do we scope and sequence an MVP, MVCR, and subsequent releases?
• Video
This short video explains how to scope and sequence MVP, MVCR, and subsequent releases.
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A Preliminary Report on a Model for Maturing AI Adoption: From Hype to Achieving Repeatable, Predictable Outcomes
• Technical Report
This document introduces the key concepts of a model for AI adoption, which will provide organizational leaders with guidance on overcoming the challenges that arise as they try to realize …
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A Practitioner’s Guide to Designing and Developing Hands-On Cybersecurity Skilling Continuation Labs
• Technical Report
This report describes Skilling Continuation Labs that provide novel, relevant, and unique hands-on immersive training for the federal cybersecurity workforce.
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Orchestrating the Chaos: Protecting Wireless Networks from Cyber Attacks
• Podcast
This podcast explores radio frequency attacks, such as those conducted by APT28, and how software and cybersecurity play key roles in preventing and mitigating these exploitations.
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DoD Work Sponsor User Guide
• User's Guide
The SEI is operated and managed by Carnegie Mellon University as a Federally Funded Research & Development Center. Sponsors fund the SEI's R&D efforts via this contract, which is administered …
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Non-DoD Work Sponsor User Guide
• User's Guide
The SEI is operated and managed by Carnegie Mellon University as a Federally Funded Research & Development Center. Sponsors fund the SEI's R&D efforts via this contract, which is administered …
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Bridging Research and Practice in LLM Agent Security
• White Paper
This systematic review discusses academic surveys, grey literature sources, and real-world case studies on securing LLM agents.
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From Data to Performance: Understanding and Improving Your AI Model
• Podcast
Drift in data and concept, evolving edge cases, and emerging phenomena can undermine the correlations that AI classifiers rely on. In this podcast, SEI researchers discuss a new tool to …
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What Could Possibly Go Wrong? Safety Analysis for AI Systems
• Podcast
SEI researchers discuss their work on System Theoretic Process Analysis, or STPA, a hazard-analysis technique uniquely suitable for dealing with AI complexity when assuring AI systems.
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