Satori for Amazon Redshift
Streamline data security and access in your Amazon Redshift and embrace DataSecOps
DataSecOps for Amazon Redshift
Satori helps customers streamline access to data in Redshift by automating access controls and security. With Satori for Redshift, data teams can implement a wide variety of access controls and enforce security and compliance policies without writing code or changing existing data flows.
How It Works
Self-service access to data in your Redshift Data Cloud
Whether you are working with self-service access, role-based access controls, or attribute-based access controls, Satori thoroughly manages access without any added code and without modifying your current data flows. With Satori, analysts, data scientists, and engineers can access the data they need quickly and without complex user and role configurations while simultaneously ensuring that security and compliance policies are enforced.
Security, compliance, and privacy operations for Redshift
Satori seamlessly integrates into your data operations and automatically applies security, compliance, and privacy policies in Redshift. Satori identifies and tags PII and other sensitive data, applies relevant policies, and generates compliance reports.
Granular security without code
Satori enforces granular security controls such as row-level security, column-level security, and masking and anonymization. Controls are managed through APIs or an intuitive user interface and do not require changes to your clients, data, or Redshift configuration.
Self-Service Data Access
Just-in-time, secure, and compliant data access with automated workflows.
Distributed Data Stewardship
Delegate data access management and assign business owners to datasets.
Data Access Audit
Complete data access audit with identity and data context including built-in reports for compliance and security.
Autonomous data inventory with built-in data classification.
Out-of-the-box, real-time classification and tagging for sensitive data powered by ML for structured and semi-structured data.
Universal Data Masking
Masking, anonymization, and data reduction profiles applied to known and unknown locations of sensitive data.
Data Access Policies
Implement row-level and column-level security based on attributes such as users, groups, data types, schema, and tables.
Organize your Redshift users by access groups and scale your RBAC implementation without writing code.
Identify the real BI user connecting to your Redshift and apply granular data access policies based on the user’s true identity.
Yes. Satori does not abstract your data or modify your interface or protocol for accessing data.