- 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
Entitlement
Concepts in access management
For conceptual background, see How Access Management Works.
See a list of policies associated with a user.
On the Users tab, select a user to see information about the policies for which the user has permissions.
On the Resources tab, select a resource to see information about the policies that govern access to that resource.
Users
On the Entitlement page, under the Users tab, select the User (e.g. padmin) from the drop-down. This drop-down auto-populates with a list of Access Management users.
Based on the selected user, the Entitlement page displays the relationship between user and policy in a tabular format.
The following are the columns under the Users tab:
Details: This column allows you to expand and view the policy details with the following sub-columns:
Policy ID: This indicates the policy's unique id. On clicking this id, you can drill-down the policy and will be navigated to the edit policy page. You can edit the policy and save it.
Policy Name: This indicates the policy name.
Policy Labels: This indicates the policy labels.
Roles: This indicates the role name (if any).
Groups: This indicates the group name (if any).
Users: This indicates the user name (if any).
Action: This sub-column contains 3 below action items:
View: Using this option, you are allowed to view the policy in read-only format.
Edit: Using this option, you are allowed to edit the policy and save it.
Delete: Using this option, you are allowed to delete the policy.
Service: This indicates the name of service such as privacera_adls, privacera_hive, etc.
Resource: This indicates the resource path/name which is associated with the selected user.
Permissions: This indicates the list of permissions associated with the selected user such as read, write, meta read, delete, etc.
Policy Count: This indicated the count of direct and indirect policies based on the selected user.
What is direct and indirect relationship?
Direct relationship denotes that the user is attached directly to the policy or resource. Direct relationship legend displays in green color along with the count of Group, Roles, and Policies. Consider the below example:
Suppose there is a user (Mark), and a role (Project_Alpha) where the user is defined as Mark.
So now, on the entitlement page if you select Mark as a user then under the Role drop-down Project_Alpha will be listed because it is directly mapped with a user called Mark.
Indirect relationship denotes that the user is mapped indirectly to the policy or resource. Indirect relationship legend displays in yellow color along with the count of Group, Roles, and Policies. Consider the below example:
Suppose there is a user (Mark), and a role (Project_Beta) that contains 'Role1' as Role.
So now, on the entitlement page if you select Mark as a user then under the Role drop-down Project_Beta will be listed because 'Role1' is indirectly mapped with a user called Mark. Because under Role1, Mark is defined as a user.
Search options:
User: This option auto-populates with the list of defined users under Access Management module.
Group: This option auto-populates with the list of defined groups under Access Management module.
Role: This option auto-populates with the list of defined roles under Access Management module. This list contains direct or indirect roles associated based on the selected user.
Zone: This option auto-populates with the list of defined zones under Access Management module.
Resource: This option allows you to filter the entitlement records by using the resource name. For example: container-1
Service: This option auto-populates with the list of services that are present under Access Management module.