- 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
Saved Reports
The Saved Reports page displays the following information:
Report Name: The name of the report.
Report Type: The type of report. For example: Data Discovery Overview, Data Inventory, or Discovery Alerts.
Schedule Type: The schedule type. For example: monthly, weekly, or hourly.
Start Time: The start time of the report.
Day: The day of the report.
Month: The month of the report.
Owner: The owner of the report. Click the column name to sort in ascending or descending order.
Updated By: The name of the user who updated the report. Click the column name to sort in ascending or descending order.
Updated On: The date and time the report was most recently updated. Click the column name to sort in ascending or descending order.
Actions: Preview, edit, or delete the report.
Export saved reports to CSV
You can select multiple saved reports for exporting in CSV format.
To export saved reports in CSV format, follow these steps:
From the navigation menu, select Reports > Saved Reports.
The Saved Reports page displays.
Click Export CSV.
From the dropdown menu, select the reports you want to export.
Click Export.
The reports are exported in CSV format.
Customize report fields
You can select specific fields you want for the following reports:
Data inventory
Tag Review Inventory Summary
Scan Summary
Compliance Summary
To customize report fields, do the following:
Select the names of the reports that you want to export.
The Export to CSV dialog displays.
Customize the fields you want to export:
No. of Resource, All checkbox: Clear this checkbox if you want only a specific number of resources.
Columns, All checkbox: Clear this checkbox to include only specific columns.
Include empty metaname tagged columns: Select this checkbox to include empty columns (columns that do not have data) but have been tagged.
Include empty table: Select this checkbox to include empty tables (tables that do not have data) but have been tagged at the table and column level.
Include empty table: Select this checkbox to include empty tables (tables that do not have data) but have been tagged at the table and column level.
Show only column tags on column: Select this checkbox to show only the tags at the column level but not the tags at the table level.
Exclude External Table Location: Select this checkbox to exclude a table for HDFS resource.
Exclude Reviewed Tags: Select this checkbox to exclude already reviewed tags from the report.
Click Export.
The report is exported in CSV format.
Note
If the reports have a large number of rows and the export requires much time, they run as an offline job and the following message is displayed:
"This request has been submitted as an Offline job. The Job Id is *<some_job_number>*."
See Offline Reports for more information.