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What is Tonic?

Tonic offers an automated approach to creating mock data that preserves key characteristics of sensitive datasets, which allows developers, data scientists, and sales teams to work efficiently while maintaining confidentiality. By mimicking your production data, Tonic generates de-identified, realistic, and secure datasets that are ideal for testing scenarios. The data is engineered to mirror your actual production datasets, ensuring that the same narrative can be conveyed during testing. With Tonic, users gain access to safe and practical datasets designed to replicate real-world data on a large scale. This tool not only generates data that looks like production data but also acts in a similar manner, enabling secure sharing across teams, organizations, and international borders. It incorporates features for detecting, obfuscating, and transforming personally identifiable information (PII) and protected health information (PHI). Additionally, Tonic actively protects sensitive data through features like automatic scanning, real-time alerts, de-identification processes, and mathematical guarantees of data privacy. It also provides advanced subsetting options compatible with a variety of database types. Furthermore, Tonic enhances collaboration, compliance, and data workflows while delivering a fully automated experience to boost productivity. With its extensive range of features, Tonic emerges as a vital solution for organizations navigating the complexities of data security and usability, ensuring they can handle sensitive information with confidence. This makes Tonic not just a tool, but a critical component in the modern data management landscape.

What is Protecto?

The rapid growth of enterprise data, often dispersed across various systems, has made the management of privacy, data security, and governance increasingly challenging. Organizations face considerable threats, such as data breaches, lawsuits related to privacy violations, and hefty fines. Identifying data privacy vulnerabilities within a company can take several months and typically requires the collaboration of a dedicated team of data engineers. The urgency created by data breaches and stringent privacy regulations compels businesses to gain a deeper insight into data access and usage. The complexity of enterprise data exacerbates these challenges, and even with extensive efforts to pinpoint privacy risks, teams may struggle to find effective solutions to mitigate them in a timely manner. As the landscape of data governance evolves, the need for innovative approaches becomes paramount.

Media

Media

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
Snowflake
Amazon Aurora
Apache Spark
MongoDB
MySQL
Oracle Database
PostgreSQL
SQL Server
Yellowbrick

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
Snowflake
Amazon S3
Microsoft Azure
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Usage based
charged per API call
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Tonic

Date Founded

2018

Company Location

United States

Company Website

www.tonic.ai/

Company Facts

Organization Name

Protecto

Date Founded

2021

Company Location

United States

Company Website

www.protecto.ai/

Categories and Features

Categories and Features

Data Discovery

Contextual Search
Data Classification
False Positives Reduction
Sensitive Data Identification

Data Security

Audits
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Encryption
Identity / Access Management
Logging / Reporting
Policy Management
Sensitive Data Compliance

Test Data Management

Not specified

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