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.