Privacera
Comprehensive data security and governance: automate compliance, manage access.
Key Takeaways
- What it is
- Comprehensive data security and governance: automate compliance, manage access.
- Pricing
- $1,500 per month
- Best for
- Automated Data Discovery
- Fine-Grained Access Control
- Encryption and Masking
- Rating
- 4.3/5
What is Privacera?
Privacera is a comprehensive data security and governance platform designed to enable organizations to manage their data privacy and compliance effortlessly. With its advanced, automated tools, Privacera empowers businesses to secure their sensitive data across multiple cloud environments. Its ability to provide granular access control and real-time data monitoring makes it particularly suited for enterprises that need to adhere to stringent data protection regulations such as GDPR, CCPA, and more.
Privacera stands out with its AI-driven data discovery and automated compliance monitoring, offering significant advantages for industries that are heavily regulated and data-driven. Its integration capabilities with multiple cloud providers and on-premise environments further set it apart.
Privacera excels in providing advanced data security and privacy management, making it a vital tool for large enterprises and regulated industries. Its features for data protection and compliance offer a strong advantage in safeguarding sensitive information.
Who is Using Privacera?
Large Enterprises
Managing data across global teams and ensuring compliance with international data regulations.
Healthcare Providers
Protecting patient data and ensuring HIPAA compliance.
Financial Institutions
Securing financial data and adhering to industry-specific regulations like PCI-DSS.
Educational Institutions
Safeguarding student information and complying with FERPA.
Uncommon Use Cases
Non-profits protecting donor data; Government agencies for secure data sharing across departments.
Key Features
Rating Breakdown
Pricing Plans
Standard Plan
$1,500 per month
- Including data discovery
- Monitoring
- Compliance features
Enterprise Plan
- Custom pricing based on specific needs and scale
Privacera Use Cases
Cross-platform governed data access
Create data products that provide logical access to related data across platforms such as Snowflake and Databricks.
Outcome: Policies apply consistently regardless of the access method.
Sensitive-data encryption
Apply field-level encryption, masking, tokenization, or hashing to sensitive data across databases, files, and streaming workflows.
Outcome: Sensitive fields remain protected while remaining usable for analytics.
Compliance and privacy workflows
Run workflows for encryption, de-identification, right-to-privacy requests, expungement, and disallowed data movement.
Outcome: Privacy and compliance operations become repeatable and policy-driven.
Fine-grained access control
Use users, groups, roles, attributes, tags, row filters, and masking policies to control access.
Outcome: Users receive only the access permitted by organizational and regulatory rules.
Cloud and data-platform governance
Connect Privacera to cloud services, warehouses, databases, query engines, and data pipelines.
Outcome: Organizations manage governance across hybrid and multicloud environments.
Workflow Ideas with Privacera
Deploy and connect a governed data platform
- 1Choose PrivaceraCloud, Self-Managed, or Data-plane deployment
- 2Configure users, groups, roles, and identity integrations
- 3Install and configure data-source connectors
Protect sensitive data with encryption
- 1Create encryption schemes for sensitive fields
- 2Configure policies based on users, groups, roles, or classifications
- 3Apply encryption, masking, tokenization, or hashing through connectors or REST APIs
Run a privacy compliance workflow
- 1Define a compliance workflow policy
- 2Select the target connector and supported file or data format
- 3Execute encryption, de-identification, expungement, or right-to-privacy processing
How Privacera fits into your stack
Cloud Platform Support
Fully compatible with AWS, Azure, and Google Cloud.
Hadoop Integration
Integrates seamlessly with Hadoop for big data environments.
API Access
Provides extensive API support for custom integrations.
Third-Party Integration
Supports various third-party applications and data management tools.
Pros
- +Enhanced Data Security: Robust security features protect sensitive data across all environments.
- +Scalability: Scales to accommodate growing data needs without compromising performance.
- +User-Friendly Interface: Designed for ease of use, even for non-technical users.
- +Comprehensive Compliance Support: Supports a wide range of international and local data protection regulations.
Cons
- −Complex Initial Setup: The initial setup can be complex, particularly for organizations without dedicated IT resources.
- −Cost Prohibitive for Small Businesses: Pricing may be challenging for smaller enterprises or startups.
- −Limited Customization Options: Some users may find the customization options lacking despite the robust functionalities.
Limitations & when to consider alternatives
Known limitations
- Discovery connectors are not supported in PrivaceraCloud. The connector deployment matrix marks Discovery Connectors as unsupported for the Privacera Cloud deployment model.
- Some policy types are connector-dependent. The compliance workflow matrix shows that workflow capabilities vary substantially by connector and cloud environment.
- Policy Authoring API is not finalized. Privacera states that the Policy Authoring API is evolving and is not yet a finalized public contract.
- Self-managed deployment requires Kubernetes and cloud infrastructure. Self-managed installations require supported cloud resources, Kubernetes, networking, IAM, storage, and Privacera Manager.
- Some connectors do not support deny policies. The documentation specifically notes that Databricks Unity Catalog and Snowflake do not support DENY policies.
Look elsewhere when
- You need a native mobile app.
- You need a browser extension.
- You need model fine-tuning or custom AI training.
- You need image analysis or code generation.
How to Use Privacera
- 1
Explore a comprehensive series of tutorials on the Privacera website, covering everything from basic setup to advanced features.
Who is Privacera For?
Data and analytics teams
Privacera helps teams access and analyze governed data across cloud services and data platforms.
IT and security teams
The platform centralizes access control, encryption, masking, monitoring, and audit capabilities.
Data administrators
Administrators can manage data sources, policies, users, groups, roles, API keys, and access controls.
Data stewards and compliance teams
Privacera supports data discovery, classification, audit reporting, privacy workflows, and regulatory controls.
Organizations in regulated industries
The site names healthcare, finance, insurance, retail, media, consumer, manufacturing, and government organizations as users or target industries.
Frequently Asked Questions
What deployment options does Privacera offer?
Privacera offers PrivaceraCloud, Self-Managed, and PrivaceraCloud Data-plane deployments.
Does Privacera support single sign-on?
Yes. Privacera supports SAML 2.0, LDAP, OAuth, Okta, Ping Identity, OneLogin, and other SAML-compliant identity providers.
Does Privacera provide APIs?
Yes. Privacera documents REST APIs for encryption, policy management, metadata, operational tasks, and connector configuration.
Which data platforms can Privacera integrate with?
Documented integrations include Databricks, StreamSets, Trino, Snowflake, Redshift, Apache Spark, Vertica, and other cloud and data platforms.
What encryption methods does Privacera support?
Privacera supports format-preserving encryption, AES, tokenization, hashing, masking, and field-level encryption.
Can Privacera run in a customer's cloud environment?
Yes. Self-Managed and Data-plane deployments run components in the customer's cloud provider VPC.
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