As of August 2026, Latka tracks 94 sensitive data discovery software companies. They have combined revenues of $3.2B and employ 19.9K people. They have raised $5.1B and serve 34M customers combined.
Every company below sells sensitive data discovery software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Sensitive Data Discovery Software enables organizations to locate and manage sensitive information such as personally identifiable information (PII), protected health information (PHI), and payment card information (PCI) across various data environments. These solutions typically scan databases, file systems, and cloud storage to identify where sensitive data resides, allowing for better compliance with regulations such as GDPR and HIPAA. The primary use cases for this software include risk management, compliance auditing, and data protection strategies. Common features include automated scanning, classification of data types, reporting dashboards, and integration capabilities with existing data governance frameworks. Buyers of this software often include roles within IT security, compliance, data governance, and legal departments, seeking to enhance their organization's data privacy posture.
Sorting: Highest -> Lowest
Showing 10 of 94 companies ranked by annual revenue.
San Jose, California, United States
Our mission at Cohesity is simple: to protect, secure, and provide insights into the world’s data. The largest organizations around the globe rely on us to strengthen their business resilience.
New York, New York, United States
Cyera is a pioneer in the data security space that empowers security leaders and provides an AI-powered data security platform that gives enterprises deep context on their data to assure cyber-resilience and compliance.
Portland, Oregon, United States
Smarsh is a privately held software company based in Portland, Oregon, that provides compliance and e-discovery solutions for corporate organizations and financial institutions. Its cloud-based platform offers archiving and compliance solutions for email, social media, and mobile communication data, allowing businesses to search and manage data for legal and regulatory purposes. The company was founded in 2001 and has since grown to serve thousands of customers worldwide.
Tampa, Florida, United States
ReliaQuest provides a SaaS security platform designed to minimize data loss and business disruptions.
New York, New York, United States
BigID is a company that specializes in data privacy and protection. Its platform uses advanced machine learning algorithms to help organizations discover, inventory, and manage sensitive and personal data across various data sources, and comply with regulations such as GDPR and CCPA.
Beaverton, Oregon, United States
Developer of an electronic discovery and information governance software. The company's software enables users to automate legal hold process, manage custodians data sources, streamline collection workflow, facilitate vendor relations and track review and production processes.
Stamford, Connecticut, United States
Unleash the Power of Secure Data We safeguard privacy, ensure data is protected everywhere, and fuel innovation with secure AI.
Latka tracks 94 sensitive data discovery software companies with reported revenue. Together they generate $3.2B in annual revenue and employ 19.9K people.
Cohesity is the largest, with $1.3B in annual revenue, founded in 2013.
The average sensitive data discovery software company in this list makes $33.6M a year, across 94 companies with reported revenue. They serve 34M customers combined.
Ranked by annual revenue, the leaders are Cohesity, Druva, Cyera, Smarsh and ReliaQuest.
The 94 sensitive data discovery software companies tracked here have raised $5.1B in disclosed funding between them.
- Must support identification and classification of sensitive data types such as PII, PHI, and PCI. - Should provide automated scanning capabilities across various data storage solutions. - Must offer compliance reporting to assist with regulatory requirements. - Should include integration options with existing data management and protection tools. - Not just a data management tool; must also provide functionality for ongoing monitoring and alerts related to sensitive data exposure.
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