Data discovery tools scan your SaaS apps, cloud stores, databases, and endpoints to automatically find, classify, and remediate sensitive data — PII, PHI, PCI, and secrets — wherever it lives. The best tools in 2026 do more than find data: they act on it, redacting, masking, or tokenizing sensitive values and feeding a DSPM program that proves the data is protected. This guide compares the 10 leading data discovery tools, what each is best for, and the one dimension that separates them: whether they only label data or actually remediate it.
Data Discovery Tools Compared (2026)
The fast answer before the deep dives below. The column that matters most in 2026 is the last one — many tools discover and classify, but far fewer actually remediate the sensitive data they find:
Tool
Best for
Discovers across
Remediates (redact/mask/tokenize)?
Strac
SaaS, cloud & GenAI discovery with built-in remediation
SaaS, cloud, endpoint, email, GenAI/MCP
Yes — redact, mask, tokenize, vault
BigID
Enterprise data intelligence & governance
Structured + unstructured stores
Labeling-focused; remediation via add-ons
Cyera
Cloud-native DSPM discovery
Cloud data stores (AWS/Azure/GCP)
Posture-first; limited inline redaction
Varonis
On-prem, file shares & M365 permissions
File shares, M365, SharePoint
Access remediation, not field redaction
Microsoft Purview
Microsoft 365-native classification
M365, Azure
Labels + limited DLP within Microsoft
Securiti
Privacy & data command center
Multi-cloud
Partial — privacy-workflow driven
OneTrust
Privacy program & consent management
Privacy data mapping
No — governance, not redaction
ManageEngine
Budget IT-managed discovery/DLP
Endpoints, file servers
Basic endpoint DLP actions
For DSPM-specific rankings see the 17 best DSPM vendors; for PII specifically, the best PII data discovery tools. The three tools below are profiled in depth.
✨ 1. Strac — Data Discovery for SaaS, Cloud & GenAI
Strac stands out as a robust SaaS and cloud-based Data Discovery, DSPM (Data Security Posture Management), and DLP (Data Loss Prevention) solution. It offers a comprehensive suite of features designed to identify and protect sensitive data across various platforms.
Discover the Benefits of Using Strac Data Discovery Tools
- Built-In & Custom Detectors: Strac supports an extensive range of sensitive data element detectors for PCI, HIPAA, GDPR, and other confidential data. It also allows customers to configure their own data elements. Notably, Strac is the only DLP on the market that detects and redacts sensitive information from images (jpeg, png, screenshots) and performs deep content inspection on document formats like PDFs and Word documents. This versatility ensures that all forms of sensitive data are covered.
- Compliance: Strac helps organizations achieve compliance with major regulatory frameworks such as PCI, SOC 2, HIPAA, ISO-27001, CCPA, GDPR, and NIST. This comprehensive compliance support is crucial for businesses operating in highly regulated industries.
- Ease of Integration: Strac boasts a quick integration process, allowing customers to integrate the solution within 10 minutes and immediately benefit from live DLP scanning and redaction on their SaaS applications. This ease of integration minimizes downtime and accelerates the deployment process.
- Accurate Detection and Redaction: Leveraging custom machine learning models trained on sensitive PII, PHI, PCI, and confidential data, Strac provides high accuracy in detection and redaction, with minimal false positives and negatives. This ensures that sensitive data is correctly identified and protected.
- Rich and Extensive SaaS Integrations: Strac offers a wide array of integrations with SaaS and cloud platforms, making it a versatile solution for businesses using multiple services. This extensive integration capability ensures seamless data protection across various platforms. Checkout https://strac.io/integrations
- AI Integration: Strac integrates with LLM APIs and AI websites such as ChatGPT, Google Bard, and Microsoft Copilot. This integration enhances the protection of AI and LLM applications, safeguarding sensitive data in these advanced platforms.
- API Support: Strac provides developers with APIs to detect and redact sensitive data, allowing for easy customization and integration into existing workflows.
- Inline Redaction: Strac can redact (mask or blur) sensitive text within any attachment, ensuring that sensitive information is protected even within document files.
- Customizable Configurations: Strac offers out-of-the-box compliance templates and flexible configurations, allowing businesses to tailor data protection measures to their specific needs.
- Happy Customers: Strac has received positive reviews on platforms like G2, reflecting its effectiveness and customer satisfaction.
Considerations When Using Strac Data Discovery Tools
Below is a review:
Checkout other reviews here: https://www.g2.com/products/strac/reviews
Exploring OneTrust as a Comprehensive Data Privacy Solution
OneTrust is a well-known name in the data privacy and compliance space, offering a wide range of tools to help organizations manage their data privacy programs.
Advantages of Utilizing OneTrust Data Discovery Tools
- Comprehensive Privacy Management: OneTrust provides a robust suite of tools for privacy management, including data discovery, privacy impact assessments, and consent management. This holistic approach helps organizations manage their entire privacy program from a single platform.
- Regulatory Compliance: OneTrust supports compliance with a wide range of global data protection regulations, including GDPR, CCPA, and LGPD. This makes it an ideal solution for multinational companies needing to comply with multiple regulations.
- User-Friendly Interface: OneTrust is known for its intuitive and user-friendly interface, which simplifies the process of managing data privacy and compliance tasks. This ease of use is particularly beneficial for organizations with limited IT resources.
- Extensive Integration: OneTrust integrates with a wide range of third-party applications and systems, ensuring that it can fit seamlessly into existing workflows. This extensive integration capability enhances its utility across different business environments.
Drawbacks of Using OneTrust Data Discovery Tools
- Complexity and Cost: OneTrust's comprehensive feature set can be overwhelming for small businesses or those new to data privacy management. Additionally, the cost of implementing and maintaining OneTrust can be high, making it less accessible for smaller organizations.
- Customization Challenges: While OneTrust offers extensive features, customizing these features to fit specific business needs can be challenging. Organizations may require additional support and resources to fully leverage OneTrust's capabilities.
Enhancing IT Management with ManageEngine Data Discovery Tools
ManageEngine offers a range of IT management tools, including data discovery and DLP solutions. It is known for providing affordable and effective IT management solutions.
Benefits of Implementing ManageEngine Data Discovery Tools
- Ease of Use: ManageEngine's tools are designed to be user-friendly and easy to implement, reducing the time and effort required for deployment. This simplicity is particularly beneficial for organizations without dedicated IT teams.
- Comprehensive IT Management: In addition to data discovery and DLP, ManageEngine provides a wide range of IT management tools, including network monitoring, endpoint management, and security information and event management (SIEM). This comprehensive suite of tools can help organizations streamline their IT operations.
- Integration Capabilities: ManageEngine integrates well with other IT management tools and platforms, ensuring that it can be seamlessly incorporated into existing IT infrastructures.
Potential Limitations of ManageEngine Data Discovery Tools
- Limited Advanced Features: While ManageEngine provides a solid set of features, it may lack some of the advanced capabilities offered by more specialized data discovery and DLP solutions. This could be a limitation for organizations with complex data protection needs.
- Scalability: ManageEngine's solutions may not scale as effectively for very large organizations with extensive data and IT management requirements. Businesses experiencing rapid growth may need to look for more scalable solutions.
🌶️ Spicy FAQs for data discovery tools
Isn't data discovery just a compliance checkbox? It starts there, but discovery with no remediation just produces a longer list of exposed data. The value is in what happens after the scan — redacting, masking, or tokenizing the sensitive values so the exposure actually goes away.
Do I need a data discovery tool AND DSPM? Usually they are the same purchase. Discovery is the engine; DSPM is the program wrapped around it. Buying a standalone scanner that only labels data means bolting remediation on later — see DSPM vs DLP for how the pieces fit.
Why do Cyera and BigID show up everywhere but rarely remediate inline? Both are excellent at finding and cataloging data at scale; their model is posture and governance, with remediation often handed to other tools. If you want find-and-fix in one place, that is where an all-in-one like Strac fits.
Drawing Insights from Data Discovery Tools
Choosing the right data discovery tool is crucial for protecting sensitive data and ensuring regulatory compliance. Strac, OneTrust, and ManageEngine each offer unique strengths and cater to different business needs. Strac excels in comprehensive detection and redaction capabilities, particularly for complex data formats and images. OneTrust provides a holistic approach to privacy management and regulatory compliance, while ManageEngine offers cost-effective and user-friendly IT management solutions. By evaluating the strengths and weaknesses of each tool, organizations can select the solution that best aligns with their data protection goals and budget.
For more information on Strac and its extensive capabilities, visit Strac's website.