GlassLM
A Glass-Box Layer For Your AI
Details
- Categories
- AIDeveloper Tools
- Use Cases
- Workflow AutomationData Analysis
- Target Audience
- DevelopersEnterprisesData Scientists
- Platforms
- Web
About GlassLM
GlassLM provides a transparent, glass-box layer for your AI interactions. You can mask sensitive data before sending prompts to Large Language Models (LLMs) to maintain privacy and security. The tool operates client-side only, ensuring that your data remains under your control with full transparency throughout the process.
Product Insights
GlassLM is a client-side web application designed for developers and enterprises to redact sensitive information within AI workflows. It serves as a privacy layer for data analysis and automation tasks by ensuring LLM prompts are sanitized before transmission.
- Client-side architecture ensures data control and avoids server-side storage risks.
- Specifically supports data masking for sensitive information prior to LLM interaction.
- Open-source transparency allows for security auditing and code verification.
- Accessible via a web platform for seamless integration into existing browser-based workflows.
Ideal for: Developers, enterprises, and data scientists who need to mask sensitive data while utilizing LLMs for workflow automation and data analysis.
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Ever pasted sensitive data into an AI? GlassLM masks it locally before it reaches the model and shows you exactly what’s sent. No backend. No storage. Just control. Check Out: https://glasslm.space