Protegrity Anonymization
Using Protegrity Anonymization with PPC
Protegrity Anonymization is a software solution that processes data by removing personal information and transforming the remaining details to protect privacy. In simple terms, it takes raw data as input, applies techniques like generalization and summarization, and outputs anonymized data. This output can be used for analysis without revealing individual identities.
For more information about Protegrity Anonymization, refer to Protegrity Anonymization.
1 - Prerequisites
List of Prerequisites for Protegrity Anonymization.
Ensure the following prerequisites are met:
Tools:
helm and kubectl are installed and configured with access Protegrity Provisioned Cluster (PPC).pipis installed in the Python Virtual Environment.
AWS Setup:
- A Protegrity Provisioned Cluster (PPC) is available.
For more information about PPC, refer to Protegrity Provisioned Cluster. - An AWS account with CLI credentials for configuring AWS is available.
- An existing VPC with at least two private subnets is available.
- An S3 bucket for storing anonymization artifacts is available and must exist before installation. The S3 bucket should not be KMS encrypted. The bucket must use default SSE-S3 encryption or no encryption.
- An IAM role (for example,
arn:aws:iam::<Account_ID>:role/<Role_Name>) with the required S3 permissions (s3:ListBucket, s3:GetObject, s3:PutObject, s3:DeleteObject) must exist before installation. - Sufficient permissions to create namespaces, deployments, secrets, and services.
- Ensure that the jumpbox can connect to the required repositories. If not already authenticated, then log in to the required repository.
- For connecting and deploying from the Protegrity Container Registry (PCR), use the following command and the credentials obtained from the My.Protegrity portal during account creation:
helm registry login registry.protegrity.com:9443
- For connecting and deploying to the local repository, use your local credentials and local repository endpoint as required.
IRSA and OIDC Configurations:
2 - Installing Protegrity Anonymization
Steps to install Protegrity Anonymization
Overview
This project deploys the Protegrity Anonymization SDK stack on Amazon EKS as part of the Protegrity AI Team Edition.
It uses Helm to deploy Kubernetes workloads.
Deployment Steps
1. Prepare Configuration
Create an override_values.yaml file with environment‑specific configuration.
s3:
bucketName: "<>" # S3 bucket name for storage (must exist before installation)
region: "us-east-1" # Update AWS region
iamRoleArn: "<>" # IAM role ARN with S3 permissions (s3:ListBucket, s3:GetObject, s3:PutObject, s3:DeleteObject) (must exist before installation)
image:
anonapi_tag: /anonymization/1.4/containers/anonymization-service:release-1.4.1_13 # Tag name for Anonymization Image.
postgres_tag: /shared/containers/postgres/17:37
Note: Ensure the S3 bucket is not KMS encrypted. The bucket must use default SSE-S3 encryption or no encryption.
Create namespace for deployment.
kubectl create namespace anon-ns
Note: Ensure all necessary parameters are set.
2. IRSA and OIDC Setup
> **Note**: This setup requires elevated privileges and is recommended to be performed with assistance from your IT team.
Pull and extract the Helm chart using the following command.
helm pull oci://<Container_Registry_Path>/anonymization/1.4/helm/anonymization-service --version=1.4.1
tar -xvf anonymization-service-1.4.1.tgz
Run the OIDC and IRSA setup script.
Use the oidc_iam_setup-aws.sh script included with the chart to configure:
The OIDC identity provider in AWS IAM.
The IAM role trust relationship for the Kubernetes service account.
sh anonymization-service/oidc_iam_setup-aws.sh <CLUSTER_NAME> <REGION> <IAM_ROLE> <S3_BUCKET_NAME> anon-ns anon-service-account
#Usage: oidc_iam_setup-aws.sh <CLUSTER_NAME> <REGION> <IAM_ROLE> <S3_BUCKET_NAME> <NAMESPACE> <SERVICE_ACCOUNT_NAME>
#Ex: oidc_iam_setup-aws.sh CLUSTER_NAME us-east-1 access_ROLE_name anon_bucket anon-ns anon-service-account
Note:
- The Anonymization service account (
anon-service-account) and namespace (anon-ns) are predefined in values.yaml file. - Retrieve the cluster name using the following command:
kubectl get configmap/nfa-config -n default -o jsonpath='{.data.CLUSTER_NAME}'
Verify successful setup.
A successful run ends with output similar to the following:
✓ Policy already attached to role
=========================================
✓ Setup Complete!
=========================================
3. Deploy
Deploy using the override_values.yaml file.
helm install pty-anonymization oci://<Container_Registry_Path>/anonymization/1.4/helm/anonymization-service --version=1.4.1 -n anon-ns -f override_values.yaml
4. Monitor
Monitor the deployment process using the following command.
kubectl get pods -n anon-ns
Verify all pods are in the Running state. The following is the sample output.
NAME READY STATUS RESTARTS AGE
anon-app-depl-f5c4d4cd6-42wgn 1/1 Running 0 3m20s
anon-db-depl-0 1/1 Running 0 3m20s
anon-scheduler-depl-7b87fcb74-l5q6v 1/1 Running 0 3m20s
anon-worker-depl-7c4d95496f-djw7f 1/1 Running 0 3m20s
anon-worker-depl-7c4d95496f-gnnvp 1/1 Running 0 3m20s
Verify all the Anonymization services are deployed.
kubectl get svc -n anon-ns
The following is the sample output.
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
anon-app-svc ClusterIP 172.20.151.139 <none> 8090/TCP 61s
anon-dask-svc ClusterIP 172.20.224.133 <none> 8786/TCP 61s
For more information about building the Request using the REST API, refer to Building the Request using the REST API.
3 - Configuring Protegrity Anonymization
Steps to configure Protegrity Anonymization.
Update Role Permission and Create User
After deployment, update the default anonymization_administrator role to include can_create_token permission and then create a user with this role.
Step 1: Update anonymization_administrator role permission
export GATEWAY_URL="https://$(kubectl get configmap/nfa-config -n default -o jsonpath='{.data.FQDN}')"
# 1. Obtain an Authentication Token
TOKEN=$(curl -sk -X POST "${GATEWAY_URL}/api/v1/auth/login/token" \
-H 'Content-Type: application/x-www-form-urlencoded' \
-d 'loginname=admin&password=Admin123!' \
-D - -o /dev/null | grep -i 'pty_access_jwt_token' | awk '{print $2}' | tr -d '\r\n')
curl -sk -X PUT \
"${GATEWAY_URL}/pty/v1/auth/roles" \
-H 'accept: application/json' \
-H "Authorization: Bearer ${TOKEN}" \
-H 'Content-Type: application/json' \
-d '{
"name": "anonymization_administrator",
"description": "Administrator role",
"permissions": [
"can_create_token",
"anonymization_operations_admin"
]
}'
Step 2: Create user with anonymization_administrator role attached
Use the following request payload when creating the user:
{
"username": "anonymization_admin",
"email": "anonadmin@example.com",
"firstName": "Anon",
"lastName": "User",
"password": "StrongPassword123!",
"roles": [
"anonymization_administrator"
]
}
Example API call:
curl -sk -X POST \
"${GATEWAY_URL}/pty/v1/auth/users" \
-H 'accept: application/json' \
-H "Authorization: Bearer ${TOKEN}" \
-H 'Content-Type: application/json' \
-d '{
"username": "anonymization_admin",
"email": "anonadmin@example.com",
"firstName": "Anon",
"lastName": "User",
"password": "StrongPassword123!",
"roles": [
"anonymization_administrator"
]
}'
4 - Protegrity Anonymization Python SDK Installation
Steps to install Python SDK.
Python SDK
The Anonymization service can be accessed programmatically using the Python SDK.
1. Obtain an Authentication Token
export GATEWAY_URL=https://<YOUR_GATEWAY_HOSTNAME>
# Gateway URL can be obtained using the following command:
# export GATEWAY_URL="https://$(kubectl get configmap/nfa-config -n default -o jsonpath='{.data.FQDN}')"
# Login with the Anon user and get token
TOKEN=$(curl -sk -X POST "${GATEWAY_URL}/api/v1/auth/login/token" \
-H 'Content-Type: application/x-www-form-urlencoded' \
-d 'loginname=anonymization_admin&password=StrongPassword123!' \
-D - -o /dev/null | grep -i 'pty_access_jwt_token' | awk '{print $2}' | tr -d '\r\n')
echo "Access Token: $TOKEN"
Note: Replace default credentials and URLs for production environments.
2. Obtain the Anonymization Python SDK wheel file
curl -sk -X GET -H "Authorization: Bearer $TOKEN" "${GATEWAY_URL}/pty/anonymization/v2/whl" -o anonsdk_dir-1.4.1-py3-none-any.whl
3. Install the SDK in a Python Virtual Environment
pip install anonsdk_dir-1.4.1-py3-none-any.whl
The Python SDK uses intermediate storage to securely exchange data with the Anonymization REST API. Ensure the S3 bucket configured for the Anonymization REST API is accessible to the Python SDK.
Configure the bucket name and access options in the config.yaml file located at $HOME/.pty_anon/config.yaml.
If the directory or file does not exist, create it using the following command.
mkdir -p $HOME/.pty_anon
touch $HOME/.pty_anon/config.yaml
Update config.yaml with the following values:
STORAGE:
ACCESS_TYPE: 'KEYS'
CLUSTER_ENDPOINT: s3.amazonaws.com
BUCKET_NAME: '<YOUR_BUCKET_NAME>'
ACCESS_KEY: '<AWS_ACCESS_KEY>'
SECRET_KEY: '<AWS_SECRET>'
Note: Use static access keys. Temporary session credentials are not supported.
5. Test the Anonymization Python SDK
import anonsdk as asdk
conn = asdk.Connection("<GATEWAY_URL>/", security=asdk.PPCBasedSecurity("anonymization_admin", "StrongPassword123!"))
For example,
conn = asdk.Connection("https://eclipse.aws.protegrity.com/", security=asdk.PPCBasedSecurity("anonymization_admin", "StrongPassword123!"))
If there is an error while establishing a connection, error appears. Else the connection is established successfully.
For more information about SDK usage, refer to Building the request using the Python SDK.
5 - Uninstalling and Cleanup Protegrity Anonymization
Steps to uninstall and cleanup Protegrity Anonymization
To remove the Anonymization SDK and all associated Kubernetes resources:
- Clear the deployed release.
helm uninstall pty-anonymization -n anon-ns --wait --timeout 300s
- Delete the bootstrap credentials secret.
kubectl delete secret/aws-iam-bootstrap-creds -n anon-ns
- Delete the persistent volume claim.
kubectl delete pvc/anon-db-persistent-storage-anon-db-depl-0 -n anon-ns
- Clear the namespace.
kubectl delete namespace anon-ns
Optionally clean up IAM roles and OIDC provider created for this deployment, and any S3 artifacts that are no longer needed.