Free Online Training | Tuesday, Oct. 13 | 2 p.m. ET/11 a.m. PT

Is Your AI Trustworthy?

AI is only as trustworthy as the information behind it. As agencies move from AI experimentation to real-world implementation, many are discovering that the biggest challenge is not the model itself. It’s ensuring that AI draws from accurate, current, and authoritative data. Without a trusted source of truth, AI can produce inconsistent results, amplify outdated information, and erode user confidence.

Join us online Tuesday, Oct. 13 from 2-2:50 p.m. ET/11-11:50 a.m. PT to learn how agencies can establish trusted data foundations that improve AI accuracy, transparency, and accountability. Experts will share practical strategies for creating a single source of truth that supports responsible AI adoption, stronger governance, and better mission outcomes.

Register Now
10-13-26-Square

You'll Learn:

How authoritative data sources improve the accuracy and reliability of AI-generated outputs.

Why data governance, visibility, and asset intelligence are critical to building trust in AI systems.

Why AI-driven security decisions fail when the underlying asset picture is 30 days old.

Practical steps for creating a trusted data foundation that supports secure, scalable AI adoption.

Speakers:

natalie buda smith BW
Natalie Buda Smith
Director of Digital Strategy (Artificial Intelligence and Innovation),
Library of Congress
JerredEdgar


Jerred Edgar
Chief Information Security &
Operations Officer,
Idaho
ryan-palmer-b&W
Ryan Palmer
Architecture Lead for AI Services,
General Services Administration
Brian Stretch Meyer
Brian “Stretch” Meyer
Federal Field CTO,
Axonius Federal Systems

Register now:

  • Closed captioning will be available.
  • Registrants will receive the session recording on Wednesday, Oct. 14.

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