PAIG Open
Source Project

Security and Safety Guardrails for GenAI

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Develop Responsible AI

As the technologies and approaches for writing GenAI applications evolve rapidly, PAIG offers a versatile framework that addresses the latest security and safety challenges and enables the integration of point security and safety solutions without requiring applications to be rewritten.

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Key Features

Metadata Layer

  • Data Extraction: Extract relevant metadata from data sources to enhance understanding of the data and improve model performance as well as apply security, compliance rules
  • Storage: Efficiently store metadata for easy retrieval and analysis.
  • Integration: Seamlessly integrate with various data sources and AI models.

Guardrail Layer

  • Safety Policies: Implement rules and policies to protect users and maintain responsible standards in AI interactions.
  • Content Moderation: Automatically detect and filter inappropriate or harmful content.
  • Privacy and Security: Ensure company data is handled securely preventing data leakage and complies with privacy regulations

Observability Layer

  • Monitoring: Track and visualize AI interactions in real time to ensure system health and performance.
  • Auditing: Maintain detailed logs of user interactions for accountability and compliance.
  • Analytics: Gain insights into user behavior and model performance through comprehensive analytics.
Quote Marks

Jiang Chen

Head of Ecosystem and Developer Relations - Zilliz

PAIG Open-Source provides guardrails for GenAI applications, allowing developers to focus on innovation without sacrificing security. Through fine-grained access control with Milvus vector database, PAIG carries forward the original data source’s access policies, ensuring that sensitive data remains protected while maintaining high search performance.

Prajwal Nellogi

Ferofill

As a GenAI developer building applications, integrating with PAIG was incredibly straightforward and allowed me to get started quickly. The platform provided excellent observability into all the activities within my application, making it easy to monitor and optimize performance. Additionally, PAIG's pluggable architecture enabled me to seamlessly integrate my own detection models, enhancing the capabilities of my application. PAIG makes life easy for us to manage unstructured data privacy and governance for our customers.

Preetpal Singh

Co-Founder - Heald, a healthcare startup

At our healthcare startup, building GenAI solutions comes with unique challenges around speed, safety, and compliance. PAIG helps us overcome those hurdles by providing an easy-to-use framework with built-in security and governance features. It’s enabled us to bring applications to market faster while ensuring we meet the highest standards for safety and privacy.

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