Key Takeaways
1. Assess qualitative and quantitive inputs for developing effective cyber risk modeling.
2. Discuss how to take action on identified threats, including making quantitative adjustments to modeling and forecasting.
3. Develop stronger awareness of tools and methodologies to strengthen environments and systems.
More About Dr. Mattarock II
Dr. Michael Mattarock II is a national security, cybersecurity, and artificial intelligence expert at Carnegie Mellon University, where he leads research and education in cyber risk modeling, adversarial machine learning, and cyber law and ethics. He also serves as a national security leader within CMU’s Information Networking Institute. Previously, Dr. Mattarock held senior leadership roles at the Software Engineering Institute and within the U.S. Air Force, where he advanced AI engineering, security research strategies, and mission-focused cyber capabilities.
