---
title: Architecting Trusted Data for AI | Webinar On-Demand
description: In this session, Aaron Mulgrew discusses how trusted data architectures enable AI to operate with confidence across classified, coalition, cloud and edge
image: https://info.everfox.com/hubfs/Logos/evrfx_head-square_wht_blkbgd.png
---

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###### WEBINAR ON-DEMAND

# Architecting Trusted Data for AI in National Security Missions

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[Get in Touch](https://www.everfox.com/contact/request-a-demo)

[Download the Companion Guide](https://info.everfox.com/hubfs/Content-whitepapers/DataBehindAI_Guide_v3_062026.pdf?hsLang=en)

## Architecting Trusted Data for AI in National Security Missions

As AI continues to reshape defense, intelligence, and government operations, one thing remains clear: AI is only as trustworthy as the data behind it. 

The discussion covered practical approaches for: 

Building trusted pipelines for AI

Securing information across complex mission environments

Maintaining integrity across domains and classification levels

Enabling AI systems to operate with confidence

[![Securing the Data Behind Your AI](https://info.everfox.com/hs-fs/hubfs/Frame%20513.png?width=400&height=400&name=Frame%20513.png)](https://info.everfox.com/mission-guide-secure-collaboration?hsLang=en)

# Securing the Data Behind Your AI

Our latest guide expands on the concepts discussed during the webinar with a practical framework for securing the data foundations AI depends on. 

[Read the Guide](https://info.everfox.com/hubfs/Content-whitepapers/DataBehindAI_Guide_v3_062026.pdf?hsLang=en)

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