---
title: "On-Demand Webinar: Securing AI Data Aggregation & Model Transfer"
description: Watch Aaron Mulgrew’s expert session on mitigating AI model and data risks. Learn strategies for sandboxing, validation, and securing model transfers.
image: https://info.everfox.com/hubfs/evrfx_sthd_rgb_wht_blkbgd-1.png
---

# On Demand Webinar

## Tech Talk: Secure AI Data Aggregation and Model Transfer

Watch On-Demand →

During this webinar, you will gain insight into how to design and implement secure data paths and cross domain strategies that maintain zero trust boundaries, even when ingesting complex training data and AI artifacts from partner networks, open-source repositories, or OSINT feeds.

What we explore:

###### Converting, inspecting, and transferring AI training data and embeddings into high-side environments while enforcing zero trust principles

###### Secure ingestion of model files – e.g., Safetensors and GGUF (GPT) into classified environments

###### Protecting offline LLM deployments against prompt-based attacks

###### Improving AI model assurance in isolated enclaves by using techniques such as “model-to-watch-the-model” and high-side signature validation

### Webinar On-Demand

# Speaker:

![Headshot\_Aaron-Mulgrew](https://info.everfox.com/hs-fs/hubfs/Headshot_Aaron-Mulgrew.png?width=400&height=400&name=Headshot_Aaron-Mulgrew.png)

[Aaron Mulgrew Senior Solutions Architect](https://www.everfox.com/authors/aaron-mulgrew)

![Everfox Webinars](https://info.everfox.com/hs-fs/hubfs/Untitled%20design%20(32).png?width=350&height=350&name=Untitled%20design%20(32).png)

[More On-Demand Webinars](https://www.everfox.com/on-demand)

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