

Breaking Models π¨ AI Security
βBreaking Models π¨ AI Security (Supply Chain Attacks)
βYour AI app runs on parts you didn't build: base models, adapters, datasets, libraries. Agents pull in even more at runtime: tools, MCP servers, prompts, other agents. Each one is a way in.
βIn this session, we map the AI supply chain end to end: where attackers get in, and what actually stops them.
βAgenda
βSoftware vs AI supply chain: the extra steps, and why they widen the attack surface
βThreat model walkthrough: data, base models, adapters, conversion and merging, model hubs, deployment
βThe agent's runtime supply chain: tools, MCP servers, prompt templates, other agents
βReal incidents: what broke and how
βDefenses and their limits: AIBOMs, signing and provenance, pinning, sandboxed loading, release gates
βOpen floor: your questions and your own experiences
βBuilt on OWASP GenAI Security Project guidance. Beginners welcome, no ML background needed. No vendor pitches.
βπ© Questions, or want to present at a future session? aisecurityinbay@proton.me
βπ WHERE Hacker Dojo, 3200 Patrick Henry Drive, Santa Clara.
βπͺ HOW TO GET IN Use the front entrance with the automatic doors and head up to the 2nd floor, Classroom (stairs or elevator).