
Director of Technology and Cybersecurity & AI Educator
The Baldwin School
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Director of Technology and Cybersecurity & AI Educator at The Baldwin School. Dr. Heverin has over a decade of experience in cybersecurity, penetration testing, and AI security research. He has published multiple papers with his students at the Baldwin School (an all-girls private school) on topics including prompt injection attacks, ontology-driven cybersecurity, and vulnerabilities in enterprise technologies. He is the author of a Navy cyber risk assessment patent, a NVD CVE entry, exploits on ExploitDB, Google Dorks, and countless bug bounty reports for universities and a government agency.
Large Language Models (LLMs) are being adopted across industries, yet their attack surface is expanding faster than defenders can keep pace. This talk introduces LLM-SRO (Large Language Model Security Risk Ontology), an ontology-driven framework for systematically modeling and mitigating adversarial risks in LLMs. Built collaboratively in WebProtégé and paired with AI reasoning through ChatGPT, LLM-SRO integrates the OWASP Top 10 for LLM Applications with MITRE ATLAS adversarial techniques to create a living, queryable knowledge base for defenders. A key takeaway is that LLM-SRO was built with no coding required. This talk equips attendees with practical, actionable methods to prioritize risks and plan defenses.
Location:
Live! Casino & Hotel Philadelphia
900 Packer Ave, Philadelphia, PA
Date:
Friday, December 5, 2025