- Platform Release 6.5
- Privacera Platform Release 6.5
- Enhancements and updates in Privacera Access Management 6.5 release
- Enhancements and updates in Privacera Discovery 6.5 release
- Enhancements and updates in Privacera Encryption 6.5 release
- Deprecation of older version of PolicySync
- Upgrade Prerequisites
- Supported versions of third-party systems
- Documentation changelog
- Known Issues 6.5
- Platform - Supported Versions of Third-Party Systems
- Platform Support Policy and End-of-Support Dates
- Privacera Platform Release 6.5
- Privacera Platform Installation
- About Privacera Manager (PM)
- Install overview
- Prerequisites
- Installation
- Default services configuration
- Component services configurations
- Access Management
- Data Server
- UserSync
- Privacera Plugin
- Databricks
- Spark standalone
- Spark on EKS
- Portal SSO with PingFederate
- Trino Open Source
- Dremio
- AWS EMR
- AWS EMR with Native Apache Ranger
- GCP Dataproc
- Starburst Enterprise
- Privacera services (Data Assets)
- Audit Fluentd
- Grafana
- Ranger Tagsync
- Discovery
- Encryption & Masking
- Privacera Encryption Gateway (PEG) and Cryptography with Ranger KMS
- AWS S3 bucket encryption
- Ranger KMS
- AuthZ / AuthN
- Security
- Access Management
- Reference - Custom Properties
- Validation
- Additional Privacera Manager configurations
- Upgrade Privacera Manager
- Troubleshooting
- How to validate installation
- Possible Errors and Solutions in Privacera Manager
- Unable to Connect to Docker
- Terminate Installation
- 6.5 Platform Installation fails with invalid apiVersion
- Ansible Kubernetes Module does not load
- Unable to connect to Kubernetes Cluster
- Common Errors/Warnings in YAML Config Files
- Delete old unused Privacera Docker images
- Unable to debug error for an Ansible task
- Unable to upgrade from 4.x to 5.x or 6.x due to Zookeeper snapshot issue
- Storage issue in Privacera UserSync & PolicySync
- Permission Denied Errors in PM Docker Installation
- Unable to initialize the Discovery Kubernetes pod
- Portal service
- Grafana service
- Audit server
- Audit Fluentd
- Privacera Plugin
- How-to
- Appendix
- AWS topics
- AWS CLI
- AWS IAM
- Configure S3 for real-time scanning
- Install Docker and Docker compose (AWS-Linux-RHEL)
- AWS S3 MinIO quick setup
- Cross account IAM role for Databricks
- Integrate Privacera services in separate VPC
- Securely access S3 buckets ssing IAM roles
- Multiple AWS account support in Dataserver using Databricks
- Multiple AWS S3 IAM role support in Dataserver
- Azure topics
- GCP topics
- Kubernetes
- Microsoft SQL topics
- Snowflake configuration for PolicySync
- Create Azure resources
- Databricks
- Spark Plug-in
- Azure key vault
- Add custom properties
- Migrate Ranger KMS master key
- IAM policy for AWS controller
- Customize topic and table names
- Configure SSL for Privacera
- Configure Real-time scan across projects in GCP
- Upload custom SSL certificates
- Deployment size
- Service-level system properties
- PrestoSQL standalone installation
- AWS topics
- Privacera Platform User Guide
- Introduction to Privacera Platform
- Settings
- Data inventory
- Token generator
- System configuration
- Diagnostics
- Notifications
- How-to
- Privacera Discovery User Guide
- What is Discovery?
- Discovery Dashboard
- Scan Techniques
- Processing order of scan techniques
- Add and scan resources in a data source
- Start or cancel a scan
- Tags
- Dictionaries
- Patterns
- Scan status
- Data zone movement
- Models
- Disallowed Tags policy
- Rules
- Types of rules
- Example rules and classifications
- Create a structured rule
- Create an unstructured rule
- Create a rule mapping
- Export rules and mappings
- Import rules and mappings
- Post-processing in real-time and offline scans
- Enable post-processing
- Example of post-processing rules on tags
- List of structured rules
- Supported scan file formats
- Data Source Scanning
- Data Inventory
- TagSync using Apache Ranger
- Compliance Workflow
- Data zones and workflow policies
- Workflow Policies
- Alerts Dashboard
- Data Zone Dashboard
- Data zone movement
- Workflow policy use case example
- Discovery Health Check
- Reports
- How-to
- Privacera Encryption Guide
- Overview of Privacera Encryption
- Install Privacera Encryption
- Encryption Key Management
- Schemes
- Encryption with PEG REST API
- Privacera Encryption REST API
- PEG API endpoint
- PEG REST API encryption endpoints
- PEG REST API authentication methods on Privacera Platform
- Common PEG REST API fields
- Construct the datalist for the /protect endpoint
- Deconstruct the response from the /unprotect endpoint
- Example data transformation with the /unprotect endpoint and presentation scheme
- Example PEG API endpoints
- /authenticate
- /protect with encryption scheme
- /protect with masking scheme
- /protect with both encryption and masking schemes
- /unprotect without presentation scheme
- /unprotect with presentation scheme
- /unprotect with masking scheme
- REST API response partial success on bulk operations
- Audit details for PEG REST API accesses
- Make encryption API calls on behalf of another user
- Troubleshoot REST API Issues on Privacera Platform
- Privacera Encryption REST API
- Encryption with Databricks, Hive, Streamsets, Trino
- Databricks UDFs for encryption and masking on PrivaceraPlatform
- Hive UDFs for encryption on Privacera Platform
- StreamSets Data Collector (SDC) and Privacera Encryption on Privacera Platform
- Trino UDFs for encryption and masking on Privacera Platform
- Privacera Access Management User Guide
- Privacera Access Management
- How Polices are evaluated
- Resource policies
- Policies overview
- Creating Resource Based Policies
- Configure Policy with Attribute-Based Access Control
- Configuring Policy with Conditional Masking
- Tag Policies
- Entitlement
- Service Explorer
- Users, groups, and roles
- Permissions
- Reports
- Audit
- Security Zone
- Access Control using APIs
- AWS User Guide
- Overview of Privacera on AWS
- Configure policies for AWS services
- Using Athena with data access server
- Using DynamoDB with data access server
- Databricks access manager policy
- Accessing Kinesis with data access server
- Accessing Firehose with Data Access Server
- EMR user guide
- AWS S3 bucket encryption
- Getting started with Minio
- Plugins
- How to Get Support
- Coordinated Vulnerability Disclosure (CVD) Program of Privacera
- Shared Security Model
- Privacera Platform documentation changelog
Connect with a client ID and client secret
To configure a connection to the Azure Key Vault with ID and Secret:
Generate the Client ID
Login to the Azure portal.
Search for Azure Key Vault.
Click +Add to create a new key vault as shown below:
After vault is created, from the left navigation, select the Overview section and note the Vault URI AZURE_KEYVAULT_URL.
To connect to the vault, we need to create an application registration through the app registration.
Register the application (e.g. rangerkmsdemo) as shown in the following example:
Click on the registered application and in the left menu, navigate to the Overview section.
Note the Application (client) ID which is the AZURE_CLIENT_ID for connecting.
Generate Client Secret
In the application screen, click on Certificates & Secrets in the left menu.
Create a new client secret as shown in the example below:
The Client Secret as shown - the secret value is the AZURE_CLIENT_SECRET.
Next, go the key vault that was created in Step 3.
Select Access Policies> +Add Access Policy.
Add Access Policy
In the Add access policy screen, we need to set permissions to access the vault with the application that was created.
Select the Key permissions (mandatory), Secret permissions (optional), and Certificate permissions (optional).
For Select principal , select the application you created.
Go to Privacera/docker/ranger/kms/install.properties and change the following values:
AZURE_KEYVAULT_ENABLED=true AZURE_KEYVAULT_SSL_ENABLED=false AZURE_CLIENT_ID=(from step 3.3) AZURE_CLIENT_SECRET=(from step 3.6) #AZURE_AUTH_KEYVAULT_CERTIFICATE_PATH (mandatory field. Value can be None/dummy) AZURE_AUTH_KEYVAULT_CERTIFICATE_PATH=/home/machine/Desktop/azureAuthCertificate/keyvault-MyCert.pfx # Initialize below prop if your certificate file has any password # AZURE_AUTH_KEYVAULT_CERTIFICATE_PASSWORD (mandatory field. Value can be None/dummy) AZURE_AUTH_KEYVAULT_CERTIFICATE_PASSWORD=certPass AZURE_MASTERKEY_NAME=RangerMasterKey # E.G. RSA, RSA_HSM, EC, EC_HSM, OCT AZURE_MASTER_KEY_TYPE=RSA # E.G. RSA_OAEP, RSA_OAEP_256, RSA1_5, RSA_OAEP ZONE_KEY_ENCRYPTION_ALGO=RSA_OAEP AZURE_KEYVAULT_URL=(from step 4 )
Note
The fields that say 'Value can be none/dummy' must have some value - cannot be blank.
Restart Ranger KMS as follows:
cd ~/privacera/docker ./privacera_services restart ranger-kms
The master key is created when Ranger KMS is restarted. Verify that master key (name that is set in the properties) is created in the vault under Keys:
When the Client ID and Client certificate are added and the Ranger KMS is restarted, an error occurs in the KMS logs: ~/privacera/docker/logs/ranger/kms/.
Exit the container and restart Ranger KMS.