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.
More Targeted, Sophisticated Attacks: Where to Pay Attention
Is There Value in Identifying Software Security "Never Events?"
Cyber Security, Safety, and Ethics for the Net Generation
An Experience-Based Maturity Model for Software Security
Mainstreaming Secure Coding Practices
Security: A Key Enabler of Business Innovation
Better Incident Response Through Scenario Based Training
An Alternative to Risk Management for Information and Software Security
Tackling Tough Challenges: Insights from CERT’s Director Rich Pethia
Climate Change: Implications for Information Technology and Security
Using High Fidelity, Online Training to Stay Sharp
Integrating Security Incident Response and e-Discovery
Concrete Steps for Implementing an Information Security Program
Virtual Communities: Risks and Opportunities
Developing Secure Software: Universities as Supply Chain Partners
Security Risk Assessment Using OCTAVE Allegro
Getting to a Useful Set of Security Metrics
How to Start a Secure Software Development Program
Managing Risk to Critical Infrastructures at the National Level
Analyzing Internet Traffic for Better Cyber Situational Awareness
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