Your Model is Private. Your System Isn't.
Joshua Mo
- When
- Thursday, July 21:30 PM – 1:50 PM · 20 min
- Where
- Expo Stage 3 SWSan Francisco, CA · imported from ai.engineer's public schedule feed
About this session
Privacy in AI isn't just about choosing the right model. Data leaks rarely happen inside the LLM itself - they happen in the systems surrounding it. Observability pipelines, analytics platforms, prompts, agents, and infrastructure often become accidental channels for exposing user data. In this session, Joshua Mo, Lead DevRel Engineer at Venice AI, explores why private models alone are not enough and shares practical privacy-preserving patterns that AI engineers can adopt today. From revocable handles and hashed identifiers to agent boundaries and confidential computing, attendees will leave with concrete ideas for building AI systems that protect user data by design.
Speaker
Lead DevRel Engineer, Venice AI
Joshua Mo is a Lead DevRel Engineer at Venice.ai focused on private AI infrastructure, developer experience, integrations and Rust-based automation. He previously worked on Rust developer relations and open-source AI tooling.
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
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