- 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
Tags
Tags are an important part of Privacera Discovery and access control. In addition to security policies for resources and roles, you can create policies based on tags. Using tag-based policies, you can manage access to sensitive data regardless of where the data is stored.
Privacera Discovery scans data sources and tags all sensitive information across the enterprise. Example tags include PERSON_NAME
, PII, ADDR
, or EMAIL_ADDR
. A dataset attribute, such as a column, table, or file, can be tagged with metadata information that can be used to classify the data asset. For example, a column titled "Email" or "Phone_Number" can be tagged as PII
.
Tags enrich existing information about your data. Data administrators can create access control policies based on the tags created by Privacera Discovery. You can view your tags from the Tags Information page.
If you have defined rules, the generation of tags depends on the order of the rules. For more information, see Processing order of scan techniques and Reorder structured rules.
Add Tags
You can add tags in Privacera Discovery from the Tags Information page.
To add a tag, folow these steps:
From the Privacera home page, expand the Discovery menu and select Tags Information.
Click the + icon.
The Add Tag dialog is displayed.
In the Tag Name field, enter a name for the tag.
In the Description field, enter a description of the tag (optional).
Click Save.
The tag is added.
Edit Tag Descriptions
You can edit the descriptions of tags in Privacera Discovery from the Tags Information page.
Note
You cannot change a tag name after the tag is created.
To edit the description of a tag, follow these steps:
In the Tags Information page, select the tag you want to edit from the Tags list and click Edit.
The Edit Tag dialog is displayed.
Update the Description field.
Click Save.
The tag is updated.
Delete Tags
You can delete tags in Privacera Discovery from the Tags Information page.
To delete a tag, follow these steps:
In the Tags Information page, select the tag you want to edit from the Tags list and click Delete.
The following message is displayed: “Are you sure you want to delete this tag?”
Click Yes to delete the tag or No to return to the Tags Information page.
Search for Tags
You can search for tags in Privacera Discovery from the Tags Information page.
To search for a tag, enter the name of the tag into the Search Tag field.
Add, Edit, or Delete Tag Attributes
The Attributes section displays a list of attributes associated with a tag. You can search the list of attributes using the search box. The Attributes section also displays the total number of records with this tag.
To add an attribute for a specific tag, follow these steps:
In the Tags Information page, select the tag from the Tags list.
Click Add Attribute
The Add Attribute dialog displays.
In the Name field, enter the name of the attribute.
In the Value field, enter the value of the attribute.
Click Save.
The attribute is added to the selected tag.
Note
You can delete or edit the attribute from the Actions column.
Export Tags
To export the tag file in JSON format, follow these steps:
Click Export.
Check the checkbox of the required tag and click the Export. You can select multiple tags.
The tag file is exported.
Import Tags
To import a tag file in JSON format, follow these steps:
Click the Import icon.
The Import dialog displays.
Select the JSON file you want to export.
Click Save.
The tag file is imported.
Fetch AWS S3 Tags
Privacera Discovery allows you to fetch AWS S3 tags. There are two types of tags that can be fetched:
Object Tags: Tags associated with the AWS S3 object or files in buckets.
Bucket Tags: Tags associated with the S3 bucket.
To fetch AWS S3 tags, follow these steps:
Navigate to Discovery > Tags Information and create a tag named
AWS_S3_TAG
.Navigate to Settings > Data Source Registration and add or update the application properties as below:
Set
"Fetch S3 Object Tags": true
Set
"Fetch S3 Bucket Tags": true
Note
By default these properties are disabled and set to false.
Go to Data Inventory > Classifications and click
AWS_S3_TAG
under the Tag column, then click on View attributes link.Click View attributes .
AWS S3 tags will be displayed in the Data Info grid.
Note
If the
AWS_S3_TAG
tag is not created, then AWS S3 tags will not be fetched and the tag will not be displayed in Classification page.If both the Object and Bucket tags are enabled and have a common tag, then the Object tag will override the Bucket tag. For example: If the Bucket tag is
owner=user1
and the Object tag is owner=user2, then theAWS_S3_TAG
tag will haveowner=user2
as its attribute.Tags fetched from AWS S3 will be added as attributes of the
AWS_S3_TAG
. This tag with attributes will be synced to Apache Ranger. Verify using the following URL:https://<EC2_Instance_IP>:6182/service/tags/tags
.