Controlling Access
to Data Has Never Been Easier

Satori enables data teams to move faster by decoupling security, privacy and access controls from the data platform.
Self-service access allows the users to use data faster, while applying security policies dynamically.

Trusted by the world’s best data teams

How Satori Works

Satori is a data security platform that enhances productivity with self-service data access. Automatically classify and control access to sensitive data without changing your data or impacting your users.

Discover Sensitive Data

Satori discovers all data stores, assets and users no matter where they are located and what they contain.

Define Access to Data

Define how and who gets access to what data and for how long for each case.

Deliver Time-to-Value

Deliver frictionless, just-in-time access to data automatically for every user through a personalized data portal.

“What I love about Satori is the way it helps teams work together, not only security and data but throughout the organization, it helps automate data access and prevent ad-hoc work and eliminates the need to manually review and implement every single data access request.”

Arun K. Buuri

VP Engineering, IT & CISO, Innovaccer

Case-study: How Innovaccer accelerates data analytics & security with Satori

Masking, Done to Perfection

Satori dynamically anonymizes, redacts and masks data without using SQL views or changing anything on the data store. Satori automatically classifies data and applies masking policies even when the data changes.

Simple masking rules based on data types not columns
No need to update masking rules as data changes

Self-Service Data Portal

Your users can gain access to the data they need, fast. Use the Slack integration for requesting and approving access to data.

Central access hub for data owners and users
Support temporary access and automatic revocation
Manage access via the Data Portal app, email or Slack

PII? We Got You Covered!

No need to boil the ocean with expensive scans that slow down your databases and jack up costs. Satori classifies data in-transit and continuously builds a comprehensive data inventory.

Supports PII, PCI and PHI data types
Discovers new sensitive data fast
Supports semi-structured data types

RBAC and ABAC

Manage access to data with flexible policies based on an RBAC or ABAC model, regardless of the features supported on the data layer.

Supports Okta, AzureAD and other Identity Provider integrations
Imposes powerful policies that are simple to write

Multi-cloud Database Activity Monitoring (DAM)

Satori’s audit log allows you to obtain a complete, uniform and searchable data access audit for all data stores with the full user, access and data context.

No impact on database performance
Rich query, result set and user information
Centralized audit logs without burning your cloud budget

Supported Data Stores

Performance and Reliability

Satori’s cloud-native Kubernetes architecture and modern design delivers stunning performance and world-class reliability. Satori is built using Rust, the modern systems programming language that is blazingly fast and inherently secure.

99.99% uptime SLA
Unnoticeable, millisecond-scale added latency
Built-in horizontal scalability and fault tolerance

Deployment Options

SaaS

Multi-tenant data access controller managed by Satori. No deployments or installations required.

Available in all AWS, Azure, GCP regions
99.99% uptime SLA

Private SaaS

Single-tenant data access controller fully managed by Satori in a dedicated cloud environment.

Private connectivity to customer VPC
99.99% uptime SLA

Customer Hosted

Deploy the data access controller in a Kubernetes cluster on your own AWS, Azure or GCP environment.

24/7 production support
Automatic software upgrades

Satori vs the Alternatives

Satori is a true universal data access service that decouples security and privacy from the data layer and doesn’t get in your way.

	DIY	Orchestration Tools
Time to Implement	Months	Months	Days
Changes to Data Model	New Data Model	New Data Model	None
Data Discovery and Classification	No	Partial	Yes
Multi-Cloud Multi-Data Store	No	Partial	Yes
Impact on Query Performance	Significant	Significant	Minimal