Eclipse was designed as a part of Nebula Pro, the first AI Powered Penetration Testing Application. Eclipse was designed to address the growing concerns surrounding sensitive data management.
Unlike traditional methods, Eclipse is not limited to identifying explicitly defined sensitive information; it delves deeper, detecting any sentences that may hint at or contain sensitive information.
Sensitive Information Detection: Eclipse can process documents to identify not only explicit sensitive information but also sentences that suggest the presence of such data else where.
This makes it a useful invaluable tool for preliminary reviews when you need to quickly identify potential sensitive content in your documents.
Privacy Preservation: With concerns about data privacy in the context of Large Language Models (LLMs), Eclipse offers a potential solution.
Before you send your data to APIs hosting LLM(s), Eclipse can screen your documents to ensure no sensitive information is inadvertently exposed.
Preliminary Data Screening: Eclipse is ideal for initial screenings where speed is essential. It helps users quickly identify potential sensitive information in large volumes of text.
Data Privacy Checks: Before sharing documents or data with external parties or services, Eclipse can serve as a first line of defense, alerting you to the presence of sensitive information.
Eclipse is designed for rapid assessments and may not catch every instance of sensitive information. Therefore:
Eclipse has been extensively tested and optimized for Linux platforms. As of now, its functionality on Windows or macOS is not guaranteed, and it may not operate as expected.
To install the above dependencies:
pip install torch transformers requests termcolor prompt_toolkit
For more information click here.
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