Privacera

Protect training data and model embeddings, identify sensitive data that models have access to, block unauthorized requests, mask and redact sensitive data in model output

Secure and govern AI models, audit and monitor model governance across AI landscape

New access control and data filtering functionality for Vector Database and Retrieval-Augmented Generation systems

Use user and data attributes across more than 50 data sources to ensure consistent application of data security policies

Build data access policies once and deploy everywhere with native connectors to 50+ sources

Support for custom conditions in access control policies

Apply tag-based access control policies to manage data security at scale

Support for wildcard patterns in policy definitions

Streamline compliance with GDPR, CCPA, HIPAA, and many more privacy regulations by building and maintaining a single compliance workflow

Out of the box support for discovery and classification of PII, HIPAA and other sensitive data

Automatically identify and tag sensitive data across over 23 data sources and view all sensitive data across entire data estate with easy to understand dashboards

Logically group data into business oriented domains and delegate approval authority to data owners and stewards

Application for managing data stewardship responsibilities and workflows

Complements Databricks Unity Catalog to ensure unified governance in complex, multi-system environments

Integration with Identity and Access Management and Active Directory systems for consistent user authentication and authorization

Out-of-the-box integration to 50+ data and security solutions with the largest library of native connectors

Built on Apache Ranger open standards for maximum integration, unmatched performance, and scalability

Support for diverse data platforms including Hadoop, S3, Snowflake, Databricks, and cloud environments

Audit and monitor sensitive data access with comprehensive reporting and dashboards

Comprehensive view and management of data security posture across the organization

Leverage a wide variety of data masking and encryption techniques to protect data at file, table, column, and row levels

Ensure consistent application of data security policies down to file, table, column, and row level