Understanding Looker Conversational Analytics security

Enhancing trust and security in Conversational Analytics

To give you the confidence to rely on Conversational Analytics, we follow a comprehensive set of best practices within Google Cloud:

• Leverage Looker’s semantic layer: By grounding Conversational Analytics in Looker’s semantic model, we ensure that the AI model operates on a trusted and consistent understanding of your business metrics. This not only improves the accuracy of insights but also leverages Looker’s established governance framework.

• Secure data connectivity: Conversational Analytics connects to Google Cloud services like BigQuery, which have their own robust security measures and access controls. This helps ensure that your underlying data remains protected.

• Use data encryption: Data transmitted to Gemini for processing is encrypted in-transit, safeguarding it from unauthorized access. Agent metadata and conversation history are also encrypted.

• Continuously monitor and improve: Our teams continuously monitor the performance and security of Conversational Analytics and Gemini in Google Cloud.

Role-based access controls

In addition, Looker provides a robustrole-based access control (RBAC) framework that Conversational Analytics leverages to offer granular control over who can interact with specific data. When a Looker user initiates a chat with data, Looker Conversational Analytics respects their established Looker permissions. This means they can only converse with Looker Explores to which they already have access. For instance, while the user might have permission to view two Looker Explores, an administrator could restrict conversational capabilities to only one. As conversational agents become more prevalent, the user will only be able to use those agents to which they have been granted access. Agent creators also have the ability to configure the capabilities of Conversational Analytics agents, for example limiting the user to viewing charts while restricting advanced functionalities like forecasting.

Innovate with confidence

We designed Gemini to be a powerful partner for your business, helping you create, analyze, and automate with Google’s most capable AI models. We’re committed to providing you this capability without compromising your data’s security or privacy, or training on your prompts or data. By not storing your prompts, data, and model outputs or using them for training, you can leverage the full potential of generative AI with confidence, knowing your data remains under your control.

By following these security principles and leveraging Google Cloud’s robust infrastructure, Conversational Analytics offers a powerful, insightful experience that is also secure and trustworthy. By making data insights accessible to everyone securely, you can unlock new levels of innovation and productivity in your organization. Enable Conversational Analytics in Looker today, and start chatting with your data with confidence.