Ensures robust AI safety by preventing data leakage during evaluation.
Provides an evaluation-first framework designed to proactively prevent data leakage and enhance LLM safety in AI systems. This testing harness rigorously identifies potential PII exposure and other sensitive data risks before deployment, making it essential for developing secure agentic AI applications. By emphasizing early-stage testing, it helps ensure the reliability and compliance of AI solutions.
Características Principales
01PII Detection Capabilities
02LLM Safety Assurance
03Hugging Face Model Integration
040 GitHub stars
05Proactive Data Leakage Prevention
06Supports Agentic AI Workflows
Casos de Uso
01Evaluating AI models for data security and privacy risks
02Developing and deploying secure agentic AI applications
03Ensuring compliance with data protection regulations