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.
CMMC Levels 1-3: Going Beyond NIST SP-171
The Future of Cyber: Secure Coding
Challenges to Implementing DevOps in Highly Regulated Environments
The Future of Cyber: Cybercrime
An Ethical AI Framework
My Story in Computing: Madison Quinn Oliver
The CERT Guide to Coordinated Vulnerability Disclosure
Women in Software and Cybersecurity: Dr. April Galyardt
The Future of Cyber: Security and Privacy
The Future of Cyber: Security and Resilience
Reverse Engineering Object-Oriented Code with Ghidra and New Pharos Tools
Women in Software and Cybersecurity: Dr. Carol Woody
Benchmarking Organizational Incident Management Practices
Machine Learning in Cybersecurity: 7 Questions for Decision Makers
Women in Software and Cybersecurity: Kristi Roth
Human Factors in Software Engineering
Women in Software and Cybersecurity: Anita Carleton
Improving the Common Vulnerability Scoring System
Why Software Architects Must Be Involved in the Earliest Systems Engineering Activities
Selecting Metrics for Software Assurance
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