To better understand the potential uses of large language models (LLMs) and their impact, a team of researchers at the Carnegie Mellon University Software Engineering Institute CERT Division conducted four in-depth case studies. The case studies span multiple domains and call for vastly different capabilities. In this podcast, Matthew Walsh, a senior data scientist in CERT, and Dominic Ross, Multi-Media Design Team lead, discuss their work in developing the four case studies as well as limitations and future uses of ChatGPT.
Human-in-the-Loop Autonomy
Mobile Applications for Emergency Managers
Why Use Maturity Models to Improve Cybersecurity: Key Concepts, Principles, and Definitions
Applying Agile in the DoD: Third Principle
DevOps - Transform Development and Operations for Fast, Secure Deployments
Application Virtualization as a Strategy for Cyber Foraging
Common Testing Problems: Pitfalls to Prevent and Mitigate
Joint Programs and Social Dilemmas
Applying Agile in the DoD: Second Principle
Managing Disruptive Events - CERT-RMM Experience Reports
Reliability Validation and Improvement Framework
Using a Malware Ontology to Make Progress Towards a Science of Cybersecurity
The Business Case for Systems Engineering
Applying Agile in the DoD: First Principle
The Evolution of a Science Project
Securing Mobile Devices aka BYOD
What's New With Version 2 of the AADL Standard?
The State of the Practice of Cyber Intelligence
Mitigating Insider Threat - New and Improved Practices Fourth Edition
Technology Readiness Assessments
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