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.
Computer and Network Forensics: A Master's Level Curriculum
Introducing the Smart Grid Maturity Model (SGMM)
Leveraging Security Policies and Procedures for Electronic Evidence Discovery
Integrating Privacy Practices into the Software Development Life Cycle
Using the Facts to Protect Enterprise Networks: CERT's NetSA Team
Ensuring Continuity of Operations When Business Is Disrupted
Managing Relationships with Business Partners to Achieve Operational Resiliency
The Smart Grid: Managing Electrical Power Distribution and Use
Electronic Health Records: Challenges for Patient Privacy and Security
Mitigating Insider Threat: New and Improved Practices
Rethinking Risk Management
The Upside and Downside of Security in the Cloud
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
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