- 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
- PolicySync
- Snowflake
- Redshift
- Redshift Spectrum
- PostgreSQL
- Microsoft SQL Server
- Databricks SQL
- RocksDB
- Google BigQuery
- Power BI
- UserSync
- Privacera Plugin
- Databricks
- Spark standalone
- Spark on EKS
- Trino Open Source
- Dremio
- AWS EMR
- AWS EMR with Native Apache Ranger
- GCP Dataproc
- Starburst Enterprise
- Privacera services (Data Assets)
- Audit Fluentd
- Grafana
- Access Request Manager (ARM)
- 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
- CLI actions
- Debugging and logging
- Advanced service configuration
- Increase Privacera portal timeout for large requests
- Order of precedence in PolicySync filter
- Configure system properties
- PolicySync
- Databricks
- Table properties
- Upgrade Privacera Manager
- Troubleshooting
- 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
-
- Possible Errors and Solutions in Privacera Manager
- 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
- Example Workflow Usage
- Discovery health check
- Reports
- Built-in Reports
- Saved reports
- Offline reports
- Reports with the query builder
- How-to
- Privacera Encryption Guide
- Essential Privacera Encryption terminology
- Install Privacera Encryption
- Encryption Key Management
- Schemes
- Scheme Policies
- Encryption Schemes
- Presentation Schemes
- Masking schemes
- Encryption formats, algorithms, and scopes
- Deprecated encryption formats, algorithms, and scopes
- Encryption with PEG REST API
- PEG REST API on Privacera Platform
- PEG API Endpoint
- Encryption Endpoint Summary for Privacera Platform
- Authentication Methods on Privacera Platform
- Anatomy of the /protect API Endpoint on Privacera Platform
- About Constructing the datalist for protect
- About Deconstructing the datalist for unprotect
- Example of Data Transformation with /unprotect and Presentation Scheme
- Example PEG API endpoints
- /unprotect with masking scheme
- REST API Response Partial Success on Bulk Operations
- Audit Details for PEG REST API Accesses
- REST API Reference
- Make calls on behalf of another user
- Troubleshoot REST API Issues on Privacera Platform
- PEG REST API on Privacera Platform
- Encryption with Databricks, Hive, Streamsets, Trino
- Databricks UDFs for encryption and masking
- Hive UDFs
- Streamsets
- Trino UDFs
- 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
- Request Access
- Approve access requests
- Service Explorer
- User/Groups/Roles
- Permissions
- Reports
- Audit
- Security Zone
- Access Control using APIs
- AWS User Guide
- Overview of Privacera on AWS
- Set 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
- S3 browser
- Getting started with Minio
- Plugins
- How to Get Support
- Coordinated Vulnerability Disclosure (CVD) Program of Privacera
- Shared Security Model
- Privacera documentation changelog
Tag Policies
Concepts in Access Management
For conceptual background, see How Access Management Works.
A tag is a label that a user attaches to an object. It describes some attribute of the object so that access can be controlled based on that attribute. A tag can be applied to multiple data sources or types of data.
For example, database columns labeled "Email" or "Phone Number" can be tagged as “PII”. You can then write policies that control access to PII-tagged data.
Adding services
From the homepage, click Access Management > Tag Policies.
Click Add service (plus sign) at the top of a service group panel.
Type a Service Name and Description.
Set the Active Status.
Enter the Key and Value in Add New Configuration . You can add multiple configurations.
To verify the configuration, click Test Connection.
Create access policies
From the homepage, click Access Management > Tag Policies.
On the Tag Policies page, click a service in a service group panel.
Select the Access tab.
Click Add New Policy.
Configure the policy.
Policy Type: Accept the default value (Access).
Policy Name: Must be unique among all policies.
Normal/Override: If you select Override, this policy takes precedence over other policies.
Policy Labels: Enter the label for this policy. This helps during search reports and filter policies based on the labels.
Tag: Enter the applicable tag name.
Policy Conditions: Click Add Conditions+ to add policy conditions (This is applied at the policy level).
Audit Logging: When enabled, an event is entered in the audit log when this policy is applied.
Create masking policies
From the homepage, click Access Management > Tag Policies.
On the Tag Policies page, click a service in a service group panel.
Select the Masking tab.
Click Add New Policy.
Configure the masking policy general settings.
Policy Type: Accept the default value (Access).
Policy Name: Must be unique among all policies.
Normal/Override: If you select Override, this policy takes precedence over other policies.
Add Validity Period: Select the start and end time of the policy along with the timezone and save.
Policy Labels: Enter the label for this policy. This helps during search reports and filter policies based on the labels.
Tag: Enter the applicable tag name.
Policy Conditions: Click Add Conditions+ to add policy conditions (This is applied at the policy level).
Audit Logging: Enable/disable Audit Logging. Toggle to 'No', if this policy doesn't need to be audited. By default, it is selected as 'Yes'.
Apply masking conditions.
Under Masking Conditions, click Add (+).
Select the roles to which this policy applies. To assign a role as an Administrator for the resource, add component permissions and define admin permissions. The administrator can create sub-policies based on the existing policies.
Select the groups to which this policy applies. To assign a group as an Administrator for the resource, add component permissions and define admin permissions. The administrator can create sub-policies based on the existing policies. The public group contains all users, so setting a condition for the public group applies to all users.
Select the users to which this policy applies. To assign a user as an Administrator for the resource, add component permissions, and define admin permissions. The administrator can create sub-policies based on the existing policies.
Click Add Conditions+ and configure the policy conditions.
Set Accessed after... to Yes or No and click Syntax Check.
Enter a boolean expression. This option is applicable to allow or deny conditions on tag-based policies.
Click Add Permissions+ and configure the Component Permissions.
Click Select Masking Option and select a masking type.
Default: Accept the masking scheme applied by the system.
Custom: Enter a custom masked value or expression. Custom masking can use any valid Hive UDF (Hive that returns the same data type as the data type in the column being masked).
Note: Conditions are evaluated sequentially as listed in the policy.