Securiti’s integration with Databricks empowers organizations to command their data and AI models by applying consistent, enterprise-wide policies across all data systems, including Databricks.
With Securiti, organizations can leverage contextual data insights, automated access intelligence and controls, and AI governance to unlock the power of their data and AI in Databricks.
Gain deep and contextual insights about all aspects of data in Databricks Workspaces and hybrid multiclouds
Unified Policy Management
Set up cross-system, enterprise-wide data governance policy in one place, reducing risk and overhead of managing data across clouds
Simplified Entitlement Management
Centralize monitoring and governance of Databricks users and their privileges and usage of sensitive data
Dynamic Data Masking
Programatically mask sensitive data based on policy to secure Databricks tables and views shared with internal and external users
Databricks Governance and Security
How it works
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
Pre-built classifiers
Custom content profiles
Regulated data discovery
Contextual classification
Exact data matching
Understand Data Context
Answer any question about data across Databricks workspaces and other clouds with a single natural language or API search query
Data Sensitivity
Data Subjects
Data Users
Data Location
Data Risks
Regulations & More
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
Sensitive Data Accessed
Audit Logs and Reports
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
Automated Data Tagging
Column Level Access
Row Level Filtering
Dynamic Data Masking
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
Sensitive Data Discovery
Centralized Policy Engine
Risk Prioritization
Security Posture Reports
Alerts and Orchestration
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
People Data Graphs
Regulatory Context
Collaboration Workflows
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
AI Model Discovery
Model Context
Automated Risk Assessment
Model Data Access
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
Privacy Regulations
Security Standards
Governance Frameworks
Assessments & Reports
Cross-border Controls
Breach Analysis
Schedule a LIVE One-on-One Demo
Command Your Data+AI Everywhere
With 1000s of pre-built integrations across hybrid multicloud and SaaS