Best Sensitive Data Discovery Tools
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Compare the Top Sensitive Data Discovery Tools as of February 2026
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What are Sensitive Data Discovery Tools?
Sensitive data discovery tools are software solutions designed to help organizations identify, classify, and protect sensitive information across their data environments. These tools scan databases, file systems, cloud storage, and applications to locate sensitive data such as personally identifiable information (PII), financial records, healthcare data, or intellectual property. By using advanced algorithms and pattern recognition, sensitive data discovery tools can automatically flag data that is at risk of exposure or non-compliance with regulations such as GDPR, HIPAA, or CCPA. They often provide visualization and reporting features, allowing organizations to see where sensitive data resides and assess the level of risk. These tools are crucial for ensuring data security, privacy compliance, and mitigating the risk of data breaches. Compare and read user reviews of the best Sensitive Data Discovery tools currently available using the table below. This list is updated regularly.
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K2View
K2View
At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments. -
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Onna
Reveal
Connect and search across an ever-growing list of cloud platforms with Onna, a real-time search solution. Onna assists users in accessing eDiscovery and finding high-value items across legal departments. Onna provides users with reporting, document sharing, collaborating, compliance managing, and more. Onna also integrates well with different data sources like Gmail, DropBox, and Confluence. -
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DryvIQ
DryvIQ
Gain deep and robust insight into your unstructured enterprise data to gauge risk, mitigate threats and vulnerabilities, while enabling better business decisions. Classify, label and organize unstructured data at enterprise scale. Enable rapid, accurate and detailed identification of sensitive and high-risk files and provide deep insight via A.I. Enable continuous visibility across both new and existing unstructured data. Enforce policy, compliance and governance decisions without reliance upon manual input from users. Expose dark data while automatically classifying and organizing sensitive and other content groups at scale—so you can make intelligent decisions on where and how to migrate that data. The platform also enables both simple and advanced file transfers across virtually any cloud service, network file system or legacy ECM platform, at scale. -
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Sudo Platform
Anonyome Labs
Sudo Platform is an API-first, developer-focused ecosystem that delivers the tools necessary to empower our partners to quickly and completely deliver to end-user consumers the necessary capabilities to protect and control their personal information while navigating the digital world. It provides a modular, quick to implement, and powerful collection of the most important digital privacy and cyber safety tools. including safe and private browsing, password management, VPN, virtual cards, encrypted and open communications, and decentralized identity. This developer-focused platform includes: Developer-focused documentation API-first ecosystem SDK source code via GitHub Sample applications for test-to-deploy of various capabilities Vendor-brandable (white-label) apps for quick go-to-market deployments.
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