Hello listeners. Today we are releasing the final episode in our series entitled

the Gene Simmons of Data Protection, the Kiss method, brought to you by none other than

Protegrety. Protegrety is AI-powered data security for data consumption, offering fine-grained

data protection solutions so you can enable your data security, compliance, sharing,

and analytics.

In our final final episode, we are talking with AVE Gatton, Director of Generative AI.

We talk about how AI safety doesn't end with training.

It begins with inference.

We explore the overlooked frontier of AI security.

From prompt injection, data leakage, and model manipulation.

AVE helps us understand how you can build guardrails that operate in real time and adapt to evolving threats.

Dave, thank you for being on the show today. Thanks for being on Code Story.

Thanks, Noah. Yeah, it's great to be here.

Excited to talk about everything we have on the agenda. Absolutely. We got a jam-packed agenda today

and inference time AI guardrails and safety and all of things. You're director of generative

AI at Protegroity. I know you've got lots of experience and things to speak on. Before we dive

into that, tell me in the audience a little bit about you. I've been in the Bay Area since way back in 2013.

Maybe that's a long time for some, not a long time for others. But I originally came out here

to finish my PhD in atomic, molecular and optical physics at Lawrence Berkeley National Lab.

And then I did a postdoc down here at Stanford Slack and then never left the peninsula.

It moved to tech around the time of the pandemic in 2020 and have been working on a variety of projects for Fortune 100 and greater companies at a variety of small startups for the past five years, six years, and now find

myself at Protegroity as the director of Gen. It's been a long road, but I've been working with

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