Secure AI-Driven 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.
Limit AI Agent-to-Data Interactions
Ensure AI agents adhere to Identity-aware security controls as they autonomously access and process enterprise data, a critical security gap if left unchecked.
Enterprise-wide Coverage for Zero Trust
Unify access controls across AI, cloud, and enterprise systems to prevent security silos and effectively address Zero Trust across the technology stack.
Compliance-Ready GenAI Security
PlainID enables auditable access controls to address strict compliance requirements (e.g., GDPR, HIPAA, SOC 2) where AI is used for insights, decision-making, or automation.
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