Setting up Data Discovery

Installation instructions for the Data Discovery feature.

Use the containers to set up the Data Discovery 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.
```
cd data-discovery
docker compose up -d
```
Based on your configuration use the docker-compose up -d command. Ensure that you bring down the containers using docker compose down before switching between starting just Data Discovery containers or Data Discovery and Semantic Guardrails containers.
Note: By default images are obtained from ghcr.io. To obtain images from public.ecr.aws, navigate to the data-discovery directory and copy the .env.example file to .env. Open the .env file and uncomment the REGISTRY=public.ecr.aws/protegrity-ai-developer-edition line in the file. Save the file and run the docker compose up -d command to download and start the containers.
Verify that the containers started successfully.
```
docker compose logs
```
Set up the Jupyter notebook for working with the notebooks provided from the cloned repository location for protegrity-ai-developer-edition.
```
pip install -r shared/requirements.txt
```

Open a command prompt.
Navigate to the cloned repository location for protegrity-ai-developer-edition.
If the step to stop containers was missed earlier, then use the following commands to identify and remove the AI Developer Edition containers.
```
docker compose down --remove-orphans
```

Delete the docker network resources.

docker network rm -f <network_name_or_id>

For example,

docker network rm -f protegrity-network

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.
```
cd data-discovery
docker compose up -d
```
Based on your configuration use the docker-compose up -d command. Ensure that you bring down the containers using docker compose down before switching between starting just Data Discovery containers or Data Discovery and Semantic Guardrails containers.
Verify that the containers started successfully.
```
docker compose logs
```
Set up the Jupyter notebook for working with the notebooks provided from the cloned repository location for protegrity-ai-developer-edition.
```
pip install -r shared/requirements.txt
```

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Last modified : June 23, 2026