LLM SRO Ontology Driven Security for LLMs - Dr. Thomas Heverin
Автор: BSidesPhilly
Загружено: 2026-02-11
Просмотров: 5
Описание: 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.
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