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Breaking Models 🚨 AI Security (Supply Chain Attacks)

​Your 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.

​In this session, we map the AI supply chain end to end: where attackers get in, and what actually stops them.

​Agenda

  1. ​Software vs AI supply chain: the extra steps, and why they widen the attack surface
  2. ​Threat model walkthrough: data, base models, adapters, conversion and merging, model hubs, deployment
  3. ​The agent's runtime supply chain: tools, MCP servers, prompt templates, other agents
  4. ​Real incidents: what broke and how
  5. ​Defenses and their limits: AIBOMs, signing and provenance, pinning, sandboxed loading, release gates
  6. ​Open floor: your questions and your own experiences

​Built on OWASP GenAI Security Project guidance. Beginners welcome, no ML background needed. No vendor pitches.

​📩 Questions, or want to present at a future session? [aisecurityinbay@proton.me](mailto:aisecurityinbay@proton.me)

​📍 WHERE Hacker Dojo, 3200 Patrick Henry Drive, Santa Clara.

​🚪 HOW TO GET IN Use the front entrance with the automatic doors and head up to the 2nd floor, Classroom (stairs or elevator).

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