Semantic Guardrails on

Semantic Guardrails Architecture

Tue, 20 Feb 2024 00:00:00 +0000

Protegrity’s GenAI Security Semantic Guardrails solution is a security guardrail engine for AI systems. It evaluates risks in GenAI chatbots, workflows, and agents through advanced semantic analytics and intent classification to detect potentially malicious messages. PII detection can also be leveraged for comprehensive security coverage.

The documentation here for Semantic Guardrails covers its specific requirements and relationship with AI Developer Edition. For more information, refer to the complete body of the Semantic Guardrails documentation.

Prerequisites for Semantic Guardrails

Tue, 20 Feb 2024 00:00:00 +0000

Ensure that the following prerequisites are met before running these examples for Semantic Guardrails:

Docker CLI, Docker Compose, and Python are installed. For more information, refer to AI Developer Edition, Pre-requisites Guide.
For shell samples: Bash version greater than or equal to 5.1.8 and curl version greater than or equal to 7.76.1.
For notebook samples: JupyterLab version greater than or equal to 4.5.6.

Setting up Semantic Guardrails

Tue, 20 Feb 2024 00:00:00 +0000

Use the containers to set up Semantic Guardrails components required for identifying sensitive data.

Open a command prompt.
Navigate to the cloned repository location for protegrity-ai-developer-edition.
Run the following command to download and start the containers. The dependent containers are large in size. Based on the network connection, the containers might take time to download and deploy.

Running the Semantic Guardrails samples

Tue, 20 Feb 2024 00:00:00 +0000

The example scripts under the semantic-guardrail/ folder demonstrate the usage of Semantic Guardrails APIs. For more information about the Semantic Guardrails APIs, refer to the section Semantic Guardrails APIs.

Note: A dedicated semantic-guardrail/docker-compose.yml is provided to start the Data Discovery and the Semantic Guardrails services.

Open a command prompt.
Navigate to the directory where AI Developer Edition is cloned.
Run the following command to test Semantic Guardrails using Python scripts. The following command submits a multi-turn conversation for analysis. One for semantic and a second one for PII processing.

Using the Semantic Guardrails APIs

Tue, 20 Feb 2024 00:00:00 +0000

Semantic Guardrails has the following types of API Endpoints:

Scan API to scan and classify sensitive data.
Domain Model API to view the domain models available.

For more information about Semantic Guardrails APIs, refer to the complete body of the Semantic Guardrails documentation.

Uninstalling Semantic Guardrails

Tue, 20 Feb 2024 00:00:00 +0000

Open a command prompt.
Navigate to the cloned repository location.
Navigate to the semantic-guardrails directory.
```
cd semantic-guardrail
```
Run the following command to remove the containers and images.
```
docker compose down --rmi all
```