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DataGrail

DataGrail provides a privacy management platform that automates data subject access requests, consent management, and risk assessments across an organization’s data ecosystem. This solution reduces the manual effort required for compliance, enabling companies to efficiently manage privacy regulations while minimizing risk exposure and enhancing customer trust.

San Francisco, United StatesFounded 2018867K+ followers
Updated 8 months ago

Funding

$79M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

AECA+7

Founders

Product

Problem

Managing data privacy requests, consent, and risk assessments across a modern organization's diverse data ecosystem is complex and labor-intensive. Manual processes and spreadsheets are often used, leading to inefficiencies and increased risk of errors. Keeping up with evolving data privacy regulations further complicates these tasks.

Solution

DataGrail offers a comprehensive privacy management platform that automates key privacy workflows, including data subject access requests (DSARs), consent management, and risk assessments. The platform simplifies data mapping and discovery, enabling organizations to uncover shadow IT, AI systems, and personal information across their tech stack. By automating these processes, DataGrail reduces the manual effort required for compliance, minimizes human error, and allows companies to efficiently manage privacy regulations. The platform also helps organizations proactively identify and address privacy risks, strengthening their overall privacy program.

Target Audience

DataGrail primarily targets organizations that need to manage data privacy compliance, reduce risk, and build customer trust, including those in retail and other industries with significant customer data.

Features

  • Automated data subject access, deletion, and opt-out request processing
  • Consent management solution for earning and managing customer consent
  • Machine learning-powered data classification for responsible data discovery
  • Autopopulated Data Protection Impact Assessments (DPIAs) and AI assessments
  • Live Data Map for visualizing data flows and identifying data stores
  • Integrations with a wide range of SaaS providers
  • Risk Monitor for proactive identification and mitigation of privacy risks
This profile is AI-generated and may contain inaccuracies.