SEI Digital Library
Latest Publications
Center for Calibrated Trust Measurement and Evaluation (CaTE)—Guidebook for the Development and TEVV of LAWS to Promote Trustworthiness
• White Paper
This guidebook supports personnel in the development and testing of autonomous weapon systems that employ ML, focusing on system reliability and operator trust.
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Reference Architecture for Assuring Ethical Conduct in LAWS
• White Paper
This reference architecture provides guidance to reason about designing and developing ML-enabled autonomous systems that have the capability to use lethal force.
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Key Takeaways from Zero Trust Industry Day 2024
• White Paper
This paper describes key takeaways from Zero Trust Industry Day 2024.
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New Data Exchange Standard Eases Insider Incident Data Collection and Sharing
• Webcast
In this webcast, Austin Whisnant and Dan Costa introduce The Insider Incident Data Exchange Standard (IIDES) that enables researchers and practitioners to easily build insider threat case data and share …
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Getting the Most Out of Your Insider Risk Data with IIDES
• Podcast
Insider incidents cause around 35 percent of data breaches. In this podcast, Austin Whisnant and Dan Costa discuss the Insider Incident Data Expression Standard (IIDES), a new schema for collecting …
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Threat Hunting: What Should Keep All of Us Up at Night
• Webcast
In this webcast, Dan Ruef explains how cybersecurity professionals can stay on task to secure networks and systems even as the big promises of the latest and greatest tools and …
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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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Grace Lewis Outlines Vision for IEEE Computer Society Presidency
• Podcast
Grace Lewis, an SEI principal researcher and lead of the SEI’s Tactical and AI-Enabled Systems Initiative, was elected the 2026 president of the IEEE Computer Society.
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AI Hygiene Starts with Models and Data Loaders
• White Paper
This paper places a call to action for traditional cybersecurity tools and techniques to be applied to artificial intelligence (AI) for improving the cybersecurity of AI systems.
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Can a Cybersecurity Parametric Cost Model be Developed?
• Webcast
In this webcast, Christopher Miller shares insights from a Carnegie Mellon University Software Engineering Institute study on cybersecurity cost estimating that can help national security organizations successfully deploy parametric cost …
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