AI Discovery Part 2: What is AI Discovery and Why is it Important to Identify?

AI Discovery Part 2: What is AI Discovery and Why is it Important to Identify?

What this video covers

Airia’s head of product for AI governance and security defines AI discovery as the set of strategies an organization uses to identify AI usage across its environment. He describes how Airia detects that usage from several directions, including log scanning at the network layer and connections into applications such as Office 365 and Google Workspace. He then explains why the topic is top of mind for CIOs and CISOs.

Key takeaways:

• AI discovery means using multiple strategies to find AI usage, including shadow AI applications and any application with generative AI embedded that is connected to corporate OneDrive or Google Drive.
• Airia’s detection methods include OAuth scanning, log scanning, and network-level and API interrogation, with findings flagged to administrators.
• These strategies are deliberately broad and best effort, aimed at casting the widest possible net.
• Discovery matters because proprietary data can be exposed and because generative AI and agents open new attack surfaces.
• Without the ability to discover AI usage, it is extremely difficult to apply any risk mitigation or security around it.

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