Establish Sensitive
Data Intelligence
Leverage advanced techniques such as NLP to accurately classify and tag hundreds of sensitive data elements at scale in Databricks and other clouds
Contextual
classification
Gain Data Access Intelligence
Identify which Databricks users have access to sensitive data, review privileges and audit access patterns over time
Active and Inactive Users
Tables and Views accessed
Govern Data Access Controls
Operationalize policy-based access controls based on data sensitivity and rightsize privileges to prevent unauthorized data access
Databricks Unity Catalog Integration
Centralized Policy Engine
Manage Data Security Posture (DSPM)
Gain insight into data risks and enforce company security policies across Databricks workspaces and users through in-built detections and automation
Centralized Policy Engine
Automate Data Privacy Rights
Find an individual’s personal data scattered across Databricks Workspaces and other cloud environments with a simple, real-time search and automatically fullfill their data access request
Personal Data
Identification
Data Subject
Identification
Automated Rights Fulfillment
Govern AI Usage
Understand risk associated with AI models deployed in the cloud and third-party services and govern AI data pipelines
Automated Risk Assessment
Ensure Continuous Compliance
Automatically audit, enforce and report compliance with global data and AI regulations, supported by a team of legal experts and a programmatic compliance approach