Securing Agentic AI: Building a Risk Taxonomy and Decision Framework
Client
Undisclosed
Semester
Spring 2026
This Capstone will develop a comprehensive taxonomy for securing agentic AI systems and a correlated risk framework and decision-making model. This project will explore the implications of agentic AI on cybersecurity policies, regulatory approaches, and the development of industry standards. The goal is to provide actionable insights and recommendations for policymakers, regulators, and standard-setting organizations such as NIST to guide the safe, secure, and ethical deployment of agentic AI technologies.