Security & Trust at DataGPT

Data security and privacy is a fundamental pillar at DataGPT that is integral to our business model and underlies everything we do.

DataGPT’s Security Principles

Transparency

We provide upfront and transparent communication regarding commitments and expectations.

Control Your Data

We have designed our application to limit user access by role, and users are limited to only retrieving the specific data they have access to.

Secure Architecture

We build our core technologies on the fundamental principles of security and privacy.

Secure Architecture

All your raw data remains in your own data warehouse which the DataGPT algorithm uses for analysis, which generates a set of parquet files that are securely stored in DataGPT’s private AWS Cloud Storage. All data is broken up and column headers are hashed to prevent any association with customer naming conventions

Additionally, our cloud-based application enforces the use of TLS/SSL/HTTPS for communication with users. Our application is designed to limit user access by role, and users are limited to only retrieving the specific data that they have access to, on-demand, when viewing a dashboard.

Data Governance & Security Measures

All your raw data remains in your own data warehouse which the DataGPT algorithm uses for analysis, which generates a set of parquet files that are securely stored in DataGPT’s private AWS Cloud Storage. All data is broken up and column headers are hashed to prevent any association with customer naming conventions

Secure Personnel:

We pride ourselves on building a culture of excellence and accountability. Every member of our team undergoes training that highlights their obligation to protect the privacy, integrity, and security of customer data.

We use Rippling and Jumpcloud to manage all company devices and can lock or erase them at any time if required. Employees that need access to raw data for development or analysis must go through a DataGPT API which verifies their credentials and determines whether they have permission to access the data. Additionally, we’re committed to:

Continuous Team Training

Secure Software Development Lifecycle

Robust Testing Standards

You can learn more about our security measures by visiting the Data Processing Addendum.

Privacy

At DataGPT, we manage personal data in a way that is both thoughtful and comprehensive. We continue to invest in data management policies in compliance with privacy regulations.

Sounds too good to be true? We’ll Prove it.

Read Privacy Policy

Contact Us

For additional information about our security and data governance policies please reach out to us at
security@comparative.ai

Frequently Asked Questions