Semantic Guardrails on

Architecture

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The diagram shows how client applications integrate with Protegrity Semantic Guardrails, and how Protegrity Data Discovery PII can be integrated as a PII detection provider.

Components

Component	Description
External AI System	AI system, such as AI chatbot or Agent, that responds to a user, using LLM and data, which is integrated with the Semantic Guardrails solution.
External LLM	LLM employed as reasoning engine by the external AI system.
External Data Sources	Data sources used by external AI system.
Protegrity Semantic Guardrails	The core application operates as a containerized Docker service. It processes conversation data through HTTP requests and performs comprehensive security risk analysis, applying guardrails including Protegrity Semantic Guardrail.
Protegrity Data Discovery	For PII detection capabilities, Protegrity Semantic Guardrails can leverage Protegrity Data Discovery solution. This solution operates as specialized Docker containers within the same environment.

Installing

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Prerequisites

Docker Engine version 28.0.4 or higher must be installed on your system. For detailed installation instructions and post-installation configuration, visit the Docker official documentation. Complete the post-installation steps to ensure that the Docker runs properly.

The following are the minimum system requirements for deployments:

RAM: 16 GB
CPU: 4 core

For basic usage, the system is not expected to consume over 5 GB memory.

Installing

Perform the following steps to install:

Uninstalling

Mon, 01 Jan 0001 00:00:00 +0000

To remove Protegrity Semantic Guardrails and associated components from your system, use standard Docker commands. For more information on container lifecycle management, image removal, and volume cleanup procedures, refer to the Docker official documentation.