'Ikinari AI Data Masking' Launched on May 26th: Remove Confidential Information Before Feeding to Generative AI

On May 26, Sourcenext Corporation released 'Ikinari AI Data Masking' (priced at 4,950 yen including tax, download version) on its website.

This product is a masking software that can replace confidential information within PDF and text files with alternative text. It offers flexible masking options, including automatic detection based on categories such as names and phone numbers, user-defined keyword detection, and manual masking. It operates offline, reducing the risk of information leakage.

Compatibility for Mac is scheduled for June.

### About 'Ikinari AI Data Masking'

This software redacts or removes personal and confidential information from PDF, Word, and text files. Unlike traditional redaction features that simply remove data, this tool replaces them with alternative text like 'Name A' or 'Address B.' This supports generative AI in reading the content without losing context.

### Features

- **Flexible Masking Settings**: Multiple methods including category-based automatic detection, word registration, and manual masking. - **Automatic Personal Info Detection**: Supports detection of names, addresses, phone numbers, email addresses, credit card numbers, My Number, and driver's license numbers. - **Custom Keyword Detection**: Users can define their own keywords (e.g., company names, project names) for batch deletion/replacement. - **Undo Masking**: Easily undo masking by clicking on the redacted area. - **Drag-to-Mask**: Intuitively mask ranges by dragging on the screen. - **Remove Hidden Text**: Clears embedded text data in PDFs to ensure the AI cannot read 'hidden' content. - **Batch Processing**: Drag-and-drop multiple files to process them at once. - **Offline Operation**: All processing occurs offline, eliminating concerns about information leakage.

### Product Overview

- Product Name: 'Ikinari AI Data Masking' - Price: 4,950 yen (tax included) - Supported OS: Windows 11 / 10, MacOS Sonoma (v14.0) or higher

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