Lexi Reese

And what was happening, right idea, wrong execution, sales team was uploading customer data into an AI tool that had been quietly added to their existing customer relationship system. So it was not a net new tool. It was a net new function within an existing tool. Got it. And they were uploading customer information that had zip code. Zip code in the insurance industry is a proxy for race.

And using it to decide who or who not to sell to is illegal. Yes. So that was a holy smokes moment where... I felt like we could create and we have created a product that gives visibility and the name Lanai comes into lean into AI, but do it safely in a way that empowers both your employees and your customers.

And using it to decide who or who not to sell to is illegal. Yes. So that was a holy smokes moment where... I felt like we could create and we have created a product that gives visibility and the name Lanai comes into lean into AI, but do it safely in a way that empowers both your employees and your customers.

And using it to decide who or who not to sell to is illegal. Yes. So that was a holy smokes moment where... I felt like we could create and we have created a product that gives visibility and the name Lanai comes into lean into AI, but do it safely in a way that empowers both your employees and your customers.

So, In Cyglin I, you'd find a sixth sense about your organization's AI interactions, connections between teams and tools and outcomes that were previously invisible to you. So under the hood, we detect AI interactions across the enterprise. We classify them to identify the use case and we label the risks. And we use AI to do all of this.

So, In Cyglin I, you'd find a sixth sense about your organization's AI interactions, connections between teams and tools and outcomes that were previously invisible to you. So under the hood, we detect AI interactions across the enterprise. We classify them to identify the use case and we label the risks. And we use AI to do all of this.

So, In Cyglin I, you'd find a sixth sense about your organization's AI interactions, connections between teams and tools and outcomes that were previously invisible to you. So under the hood, we detect AI interactions across the enterprise. We classify them to identify the use case and we label the risks. And we use AI to do all of this.

Still, for the real sort of aha for some companies, you know there was a Chinese AI company competitive to open AI called DeepSeek. Most of the world found out about it two weeks after we were able to detect that customers' employees were using DeepSea. Wow. So we see things that take many weeks in... minutes and we make that intelligence actionable through real time dashboards.

Still, for the real sort of aha for some companies, you know there was a Chinese AI company competitive to open AI called DeepSeek. Most of the world found out about it two weeks after we were able to detect that customers' employees were using DeepSea. Wow. So we see things that take many weeks in... minutes and we make that intelligence actionable through real time dashboards.

Still, for the real sort of aha for some companies, you know there was a Chinese AI company competitive to open AI called DeepSeek. Most of the world found out about it two weeks after we were able to detect that customers' employees were using DeepSea. Wow. So we see things that take many weeks in... minutes and we make that intelligence actionable through real time dashboards.

And the challenge that we're that we face and that we're happy with how we've solved so far is doing this without disrupting workflows or compromising employee privacy. And so that's really important because I think there is a lot of surveillance tools that are trying to surveil actual human employees, whereas we're focusing on pattern detection, not content monitoring.

And the challenge that we're that we face and that we're happy with how we've solved so far is doing this without disrupting workflows or compromising employee privacy. And so that's really important because I think there is a lot of surveillance tools that are trying to surveil actual human employees, whereas we're focusing on pattern detection, not content monitoring.

And the challenge that we're that we face and that we're happy with how we've solved so far is doing this without disrupting workflows or compromising employee privacy. And so that's really important because I think there is a lot of surveillance tools that are trying to surveil actual human employees, whereas we're focusing on pattern detection, not content monitoring.

And so understanding the purpose and the impact of AI interactions without reading you, Dr. T's individual prompts.

And so understanding the purpose and the impact of AI interactions without reading you, Dr. T's individual prompts.

And so understanding the purpose and the impact of AI interactions without reading you, Dr. T's individual prompts.

Yeah, I think, look, there's a good story of one healthcare executive literally stands up when he sees his clinicians using 18 different AI tools, which is 15 more than was approved. And that's alarming, but that alarm was transformed to curiosity when we showed how these tools were improving the patient care times and reducing documentation burdens.

Yeah, I think, look, there's a good story of one healthcare executive literally stands up when he sees his clinicians using 18 different AI tools, which is 15 more than was approved. And that's alarming, but that alarm was transformed to curiosity when we showed how these tools were improving the patient care times and reducing documentation burdens.

Yeah, I think, look, there's a good story of one healthcare executive literally stands up when he sees his clinicians using 18 different AI tools, which is 15 more than was approved. And that's alarming, but that alarm was transformed to curiosity when we showed how these tools were improving the patient care times and reducing documentation burdens.

His perspective shifted from shut this down to scale this. This is the power of visibility, transforming apparent chaos into strategic opportunity. And the jaw drop isn't discovering shadow AI, it's seeing patterns you didn't know before. So, you know, just like with your kids, you say, don't get furious, get curious. Right, right.