DataGrail

Develop by Shopify

Free plan available

Map data and automate DSARs to eliminate risk and build trust.

Continuous system detection

Data discovery

Automated dsr fulfillment

Privacy blueprint

Processing records

Intelligent workflows

Auto-populated fields

About DataGrail

Launched Dec 26, 2022

Built by Shopify

Address

SOUTH SAN FRANCISCO, CA, US

Website Support Portal Privacy policy Tutorial FAQ Document

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Description

Your Privacy Control Center. Automated data mapping, DSR management, guided assessments and more.

DataGrail is the privacy platform that enables brands to build consumer trust and eliminate risky business. With continuous system detection, responsible data discovery, and automated data subject request (DSR) fulfillment, DataGrail powers privacy programs. Companies like Overstock, Salesforce, New Balance, and Instacart use DataGrail to support compliance with evolving privacy laws and regulations, like GDPR, CCPA, and CPRA.

Continuously detect systems to understand where consumer data is stored.
Automate data subject request (access, delete, do-not-sell) fulfillment.
Provide an accurate privacy blueprint + records of processing activities (RoPA).
Complete privacy assessments with intelligent workflows + auto-populated fields.

Pros

DataGrail automates the process of fulfilling data subject requests, making compliance easier and faster for companies.
The app provides continuous system detection which helps organizations understand where consumer data is stored, enhancing data governance.
DataGrail supports compliance with various privacy laws such as GDPR, CCPA, and CPRA, which is essential for companies operating in multiple jurisdictions.
It offers a privacy blueprint and records of processing activities, which can be valuable for audits and demonstrating compliance.
Intelligent workflows and auto-populated fields streamline privacy assessments, reducing human error and administrative burden.

Cons

The platform may require significant initial setup to integrate with a company's existing systems and data sources.
There could be a learning curve for users who are new to privacy management software or unfamiliar with the supported regulations.
While automation is beneficial, reliance on it could lead companies to overlook necessary manual oversight in some cases.
Depending on the size and complexity of the organization, there might be a need for customization that could increase implementation time and cost.