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.
A 10-Step Framework for Managing Risk
7 Steps to Engineer Security into Ongoing and Future Container Adoption Efforts
Ransomware: Evolution, Rise, and Response
VINCE: A Software Vulnerability Coordination Platform
Work From Home: Threats, Vulnerabilities, and Strategies for Protecting Your Network
An Introduction to CMMC Assessment Guides
The CMMC Level 3 Assessment Guide: A Closer Look
The CMMC Level 1 Assessment Guide: A Closer Look
Achieving Continuous Authority to Operate (ATO)
Challenging the Myth of the 10x Programmer
A Stakeholder-Specific Approach to Vulnerability Management
Optimizing Process Maturity in CMMC Level 5
Reviewing and Measuring Activities for Effectiveness in CMMC Level 4
Situational Awareness for Cybersecurity: Beyond the Network
Quantum Computing: The Quantum Advantage
CMMC Scoring 101
Developing an Effective CMMC Policy
The Future of Cyber: Educating the Cybersecurity Workforce
Documenting Process for CMMC
Agile Cybersecurity
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