AI Discovery Part 3: How Does Airia Approach AI Discovery?

AI Discovery Part 3: How Does Airia Approach AI Discovery?

What this video covers

Airia’s head of product for AI governance and security explains how Airia treats discovery as the first step in the lifecycle of identifying every AI asset touching an organization’s infrastructure. He walks through the layers Airia can work at, from the browser and device out to the network, identity, and application level, and closes with the additional strategies Airia discusses with customers.

Key takeaways:

• Discovery can start at the browser level with a browser extension, or at the device level with Airia’s own agents or with endpoint agents already deployed as part of a security solution.
• Integrations at the network and identity level allow log scanning to identify AI usage.
• Scanning critical applications such as Office 365 and Google Workspace can reveal a user connecting a personal ChatGPT instance or another AI application to OneDrive or Google Drive.
• All of these efforts are best effort, intended to cast the widest net and give the fullest picture of AI usage across the organization.
• Code scanning at the repository level can identify agents that have been built, or references to third-party model providers, directly from the code base.

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