Responsible Data Discovery
Get a more comprehensive view of your organization’s privacy risk, so you can make smart decisions and build trust.
Uncover unknown privacy risks
Detect data across source types
Protect sensitive data from compromise by using DataGrail to identify and categorize it for structured data sources. The platform also identifies the class of unstructured data, so you can rest easy.
Create safer data practices
DataGrail anonymizes and classifies data sources, so your organization has the information needed to comply with data privacy requirements without introducing new data security risks.
Understand your tech stack
Use DataGrail’s smart taxonomy to systemize consumer-sensitive data held in third-party systems, like Salesforce and Marketo, so you can deliver on data protection and privacy requirements quickly.
Bed Bath & Beyond Revamps Data Privacy to Achieve 10X ROI
DataGrail has really helped us with reducing risk and gaining trust from our customer base, and making it a very easy and seamless process. It’s been a 10x ROI from the investment in DataGrail.
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Explore how it works
System detection
Automatically identify the first- and third-party systems connected to your network.
Data classification
Use machine learning-generated smart categories to automatically label the different types of data that live within your first- and third-party systems.
Automated reporting
Automate complete inventory system reports and data mapping with accurate, up-to-date data, and approve categories in a single click. Plus, improve privacy management with actionable recommendations.
Risk management
Proactively address net-new privacy risks by building new privacy assessments, modifying your privacy policy, or updating your data subject request (DSR) process.
The trusted leader in data privacy
FAQ
What is a data discovery solution and why is it important?
A data discovery solution helps you uncover and understand all the personal data your business collects, stores, and processes. It’s the first step in building trust with your customers. Without clear visibility into your data, it’s impossible to stay compliant with evolving privacy laws or protect sensitive information from unnecessary risk.
What are the benefits of data discovery?
- Better Decision-Making: By uncovering hidden trends and patterns, it helps you make informed, data-driven decisions instead of relying on intuition.
- Improved Efficiency: It helps you find and use the right data faster, reducing the time spent on manual searches and data preparation.
- Enhanced Security & Compliance: You can easily identify and classify sensitive data (like customer or employee information) to ensure it’s properly protected and complies with regulations like GDPR and CCPA.
- Greater Business Insights: It can reveal new opportunities, customer behaviors, and market trends that were previously hidden in your data.
How does data discovery help with compliance and risk management?
Compliance starts with knowing where your data lives. Data discovery automates the process of identifying personal and sensitive data across all your systems, cloud apps, databases, SaaS tools, and beyond. This reduces blind spots, makes it easier to respond to consumer requests, and helps your teams identify and mitigate risks before they become compliance issues.
What are the key features of a modern data discovery platform?
Today’s leading data discovery platforms go beyond static spreadsheets and manual inventories. Look for automated system detection, AI-powered classification, and real-time updates when new SaaS or internal systems are added. A modern platform should give you an always-up-to-date view of your data, not just a snapshot in time.
What are the leading data discovery and mapping tools?
The best tools help organizations gain full visibility into where personal data lives and how it’s used. Leading solutions typically offer:
- Automated detection of systems and data sources across the organization
- AI-driven classification for faster, more accurate insights
- Seamless integration with cloud apps, databases, and SaaS platforms
- Reporting and audit capabilities to support compliance and risk management
How does AI improve data discovery accuracy?
AI takes the guesswork out of finding personal data. Instead of relying on manual tagging or keyword searches, AI models can recognize patterns, classify data more precisely, and adapt as your business systems evolve. That means less manual effort for your team and greater confidence that no personal data slips through the cracks.
What industries benefit most from data discovery tools?
Any organization that processes large volumes of customer data benefits, from tech companies managing SaaS applications, to retailers tracking shopper behavior, to healthcare providers safeguarding sensitive patient records. If customer trust or regulatory compliance is a priority, data discovery should be on your radar.
How does data discovery differ from data classification?
Data discovery is about finding and mapping where data lives across your systems. Data classification takes it a step further by labeling that data, for example, distinguishing between personal, sensitive, or business-critical information. The two work hand-in-hand: discovery builds the inventory, classification organizes it.
What is the best way to implement data discovery in my organization?
Start with a solution that integrates directly into your existing systems without heavy IT lift. Look for automation that continuously updates your inventory so it doesn’t fall out of date. Most importantly, make sure the platform works across your entire tech stack, because you can’t govern what you can’t see.
