- 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
Customize topic and table names
By default, topic and table names are assigned and managed internally by Privacera Discovery. Also, the deployment environment name is attached as a suffix to the topic and table names.
For example, the default name for a Classification Topic in Privacera Discovery is shown as below:
CLASSIFICATION_TOPIC: "privacera_classification_info_{{DEPLOYMENT_ENV_NAME}}"
To customize the name of a topic or table, you can do one of the following:
Remove the {{DEPLOYMENT_ENV_NAME}} variable as suffix.
Re-define a new topic/table name.
If you want to customize any topic or table name, refer to the property in the the following table.
Uncomment the topic, and enter a name, along with the {{DEPLOYMENT_ENV_NAME}} as the suffix.
To remove the {{DEPLOYMENT_ENV_NAME}} as the suffix, refer to the DISCOVERY_DEPLOYMENT_SUFFIX_ID property in this table.
{{DEPLOYMENT_ENV_NAME}} is the name of the environment you have given in the
vars.privacera.yml
Property | Description | Example customization |
---|---|---|
PRIVACERA_PORTAL_TOPIC_DYNAMIC_PREFIX | Uncomment and enter a custom name to add a prefix to the real-time topic for Data Sources in Privacera Portal. | PRIVACERA_PORTAL_TOPIC_DYNAMIC_PREFIX="privacera_scan_worker" |
CLASSIFICATION_TOPIC | Streams Privacera Discovery classification information generated after scanning for consumers to post-process, such as writing the data to Solr | CLASSIFICATION_TOPIC: "privacera_classification_info_{{DEPLOYMENT_ENV_NAME}}" |
ALERT_TOPIC | Streams alert data which consumers to post-process, such as writing the data to Solr | ALERT_TOPIC: "privacera_alerts_{{DEPLOYMENT_ENV_NAME}}" |
SPARK_EVENT_TOPIC | Streams Spark events for debugging purpose | SPARK_EVENT_TOPIC: "privacera_spark_events_{{DEPLOYMENT_ENV_NAME}}" |
RESULT_TOPIC | Streams error logs consumers to post-process, such as writing the data to Solr for displaying on the Privacera Portal diagnostic page | RESULT_TOPIC: "privacera_results_{{DEPLOYMENT_ENV_NAME}}" |
OFFLINE_SCAN_TOPIC | Streams batch file events after listing, which is consumed by Privacera Discovery to initiate scanning of batch file | OFFLINE_SCAN_TOPIC: "privacera_offline_scan_{{DEPLOYMENT_ENV_NAME}}" |
AUDITS_TOPIC | Streams real-time audit events consumed by Privacera Discovery for real-time scanning | AUDITS_TOPIC: "privacera_audits_{{DEPLOYMENT_ENV_NAME}}" |
SCAN_RESOURCE_INFO_TOPIC | Streams data for scan summary information reporting about scan request jobs | SCAN_RESOURCE_INFO_TOPIC: "privacera_scan_resources_info_{{DEPLOYMENT_ENV_NAME}}" |
RIGHT_TO_PRIVACY_TOPIC | Streams events for triggering the Right to Privacy compliance policy | : RIGHT_TO_PRIVACY_TOPIC: "privacera_right_to_privacy_{{DEPLOYMENT_ENV_NAME}}" |
DELAY_QUEUE_TOPIC | Streams real-time events to HDFS for delayed processing | DELAY_QUEUE_TOPIC: "privacera_delay_queue_{{DEPLOYMENT_ENV_NAME}}" |
APPLY_SCHEME_TOPIC | Streams events for triggering the de-identification compliance policy | APPLY_SCHEME_TOPIC: "privacera_apply_scheme_{{DEPLOYMENT_ENV_NAME}}" |
ML_CLASSIFY_TAG_TOPIC | Streams events for triggering tag detection via Machine Learning Models | ML_CLASSIFY_TAG_TOPIC: "privacera_ml_classify_tag_{{DEPLOYMENT_ENV_NAME}}" |
LINEAGE_TOPIC | Streams lineage information for consumers for writing the data to Solr | LINEAGE_TOPIC: "privacera_lineage_{{DEPLOYMENT_ENV_NAME}}" |
RESOURCE_TABLE ALERT_TABLE SCAN_REQUEST_TABLE ACTIVE_SCANS_TABLE MLRESOURCE_TABLE LINEAGE_TABLE AUDIT_SUMMARY_TABLE STATE_TABLE SCAN_STATUS_TABLE | You can customize the table names. Uncomment the table, and enter a name, along with the {{DEPLOYMENT_ENV_NAME}} as the suffix. To remove the {{DEPLOYMENT_ENV_NAME}} as the suffix, refer to the DISCOVERY_DEPLOYMENT_SUFFIX_ID property in this table. | RESOURCE_TABLE: "privacera_resource_v2_{{DEPLOYMENT_ENV_NAME}}" ALERT_TABLE: "privacera_alert_{{DEPLOYMENT_ENV_NAME}}" SCAN_REQUEST_TABLE: "privacera_scan_request_{{DEPLOYMENT_ENV_NAME}}" ACTIVE_SCANS_TABLE: "privacera_active_scans_{{DEPLOYMENT_ENV_NAME}}" MLRESOURCE_TABLE: "privacera_mlresource_v2_{{DEPLOYMENT_ENV_NAME}}" LINEAGE_TABLE:"privacera_lineage_{{DEPLOYMENT_ENV_NAME}}" AUDIT_SUMMARY_TABLE: "privacera_audit_summary_{{DEPLOYMENT_ENV_NAME}}" STATE_TABLE: "privacera_state_{{DEPLOYMENT_ENV_NAME}}" SCAN_STATUS_TABLE: "privacera_scan_status_{{DEPLOYMENT_ENV_NAME}}" |
DISCOVERY_DEPLOYMENT_SUFFIX_ID | Use this property to remove the {{DEPLOYMENT_ENV_NAME}} variable as suffix from the topic/table names. NoteThis is a custom property, and has to be added separately to the YAML file. | DISCOVERY_DEPLOYMENT_SUFFIX_ID: "" |
DISCOVERY_BUCKET_SQS_NAME | You can customize the SQS bucket name. Uncomment the table, and enter a name, along with the {{DISCOVERY_DEPLOYMENT_SUFFIX_ID}} as the suffix. | DISCOVERY_BUCKET_SQS_NAME: "privacera_bucket_sqs_{{DISCOVERY_DEPLOYMENT_SUFFIX_ID}}" |