Secure Policy-Driven AI Data Access

 

Protect sensitive data and enforce compliance with PlainID’s Policy-Based Access Control (PBAC). Whether through AI agents (NHIs) or GenAI-driven insights, access must be tied to the user’s identity, ensuring permissions align with roles and policies. With real-time authorization, PlainID safeguards proprietary data across Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs), maintaining Zero Trust and regulatory compliance.

Control AI-Generated Responses and AI Agents to Prevent Data Leaks and Ensure Compliance

 

Secure AI Query Input

Enforce query authorization to ensure users can only ask questions within their authorized scope. Prevent unauthorized attempts to extract sensitive or restricted information.

Control Data Retrieval

Apply policy-based controls to restrict which data and documents AI can retrieve to generate insights from Retrieval-Augmented Generation (RAG) systems.

LLM Response Filtering and Masking

Enforce authorization at the response layer, ensuring that even after data is retrieved, AI-generated outputs are controlled to prevent expose of sensitve data.

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