---
title: "Webinar: Vector Databases and Securing Sensitive Data"
image: https://info.baffle.io/hubfs/webinar_2024.12.12_OD_4.png
---

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**On-Demand Webinar **

# Vector Databases and Securing Sensitive Data

Data Encryption for Gen AI Apps 

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## **Speakers**

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**Shayon Sanyal**  
Principal Database Solutions Architect

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**Min-Hank Ho**  
VP, Product Management

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## **Overview**

As generative AI continues to revolutionize industries, organizations are rolling out AI-enabled applications that use large language models (LLMs) and vector databases to extract valuable insights from their data. However, this rapid adoption of AI-powered solutions has introduced new security challenges, particularly when dealing with sensitive data.

Vector databases make it possible to store, search, and retrieve relevant data for use by GenAI applications, but they can also inadvertently expose sensitive information through the vector embeddings and the associated data chunk stored within. By encrypting the embeddings and their associated data, Baffle Data Protection for AI offers a robust solution to safeguard your organization's valuable data used by your GenAI application.

### Join this webinar as we discuss:

The risks associated with storing sensitive data in vector databases

How embedding encryption works

Best practices for securing your AI infrastructure

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