Lanai Launches Edge-Based AI Observability Agent

Lanai has launched its edge-based AI Observability Agent, a platform designed to detect AI usage directly on enterprise devices without routing data through centralized systems. Announced in a press release, this new tool aims to uncover shadow AI workflows that traditional monitoring systems fail to detect.

The platform introduces AI Interaction Discovery, providing visibility into employee interactions with AI tools like Claude, ChatGPT, and embedded AI features in applications such as Salesforce Einstein and Microsoft Copilot. Lanai's research indicates that 89% of AI usage in enterprises remains unseen by IT teams, posing challenges in balancing productivity and compliance.

By deploying AI models on employee devices, Lanai offers real-time prompt analysis and workflow insights, crucial for industries like healthcare and financial services where regulatory compliance is critical. The deployment process is streamlined, requiring less than 24 hours via standard MDM systems, with no need for infrastructure changes.

Lanai's approach not only identifies the AI tools in use but also assesses the context of these interactions, helping organizations manage risks and enhance productivity. This capability is particularly important for highly regulated sectors, where the distinction between compliant and non-compliant AI use can have significant implications.