---
title: "Your Model is Private. Your System Isn't."
category: "talks"
date: "2026-07-01"
time: "1:30pm-1:50pm"
track: "Expo Stage 3 SW"
room: "Expo Stage 3 SW"
speakers: ["Joshua Mo"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: ""
scheduleRoom: "Expo Stage 3 SW"
scheduleLabels: ["Expo Stage 3 SW", "session", "confirmed"]
---
# Your Model is Private. Your System Isn't.

## Conference Context
- Date/time: 2026-07-01 · 1:30pm-1:50pm
- Track/room: track TBD · Expo Stage 3 SW
- Speaker(s): Joshua Mo
- Session type/status: session · confirmed

- Track: track TBD
- Room: Expo Stage 3 SW
- Session type: session
- Status: confirmed

## Session Description
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.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[joshua-mo]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

## Synthesis
### Synthesized Breakdown
# Your Model is Private. Your System Isn't. ## Conference Context - Date/time: 2026-07-01 · 1:30pm-1:50pm - Track/room: track TBD · Expo Stage 3 SW - Speaker(s): Joshua Mo - Session type/status: session · confirmed - Track: track TBD - Room: Expo Stage 3 SW - Session type: session - Status: confirmed ## Session Description 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.

### Speaker And Company Context
- [[joshua-mo|Joshua Mo]] — Lead DevRel Engineer at [[venice-ai|Venice AI]].

### Topics Covered
- Topic links are pending transcript-backed classification.

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.