# Baffle, Inc.

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/baffle-inc
- **Dataset:** https://optimly.ai/brand/baffle-inc.json
- **Markdown:** https://optimly.ai/brand/baffle-inc/llms.txt
- **Official website:** https://baffle.io
- **Slug:** baffle-inc
- **Categories:** data-analytics-business-intelligence

## Overview

- **Tagline:** Baffle offers the easiest way to protect GenAI data with a no-code, transparent data proxy approach that enables seamless encryption and decryption on-the-fly, minimal impact on performance, and multi-key architecture, ensuring fast compliance and comprehensive protection across cloud and on-premises environments.
Source: Brand's website (https://baffle.io) · 2026-10-04

- **Description:** Baffle provides auditable protection for unstructured and structured data throughout the GenAI pipeline. It delivers an enterprise-class security platform that protects data for GenAI, analytics, and databases by offering masking, tokenization, and encryption with role-based access control for individual data values, regardless of where the data is stored or used.
Source: Brand's website (https://baffle.io) · 2026-10-04

## Offerings

- **Core capabilities:**
  - An enterprise-class security platform offering data masking
  - tokenization
  - and encryption with role-based access control. Key features include Real Queryable Encryption
  - Bring Your Own Key (BYOK) capabilities
  - and data isolation for GenAI
  - analytics
  - and databases.
Source: Brand's website (https://baffle.io) · 2026-10-04

- **Pricing:** Not explicitly mentioned.
Source: Brand's website (https://baffle.io) · 2026-10-04

## Audience

- **Target industry:** Enterprises across various sectors including Financial Services, Healthcare, Telecommunications, and Manufacturing, particularly those leveraging GenAI, cloud data platforms, and SaaS, needing to protect sensitive data and meet compliance mandates.
Source: Brand's website (https://baffle.io) · 2026-10-04

Page last updated 2026-10-17.