Top 94 Sensitive Data Discovery Software SaaS Companies in July 2026
As of July 2026, there are 94 SaaS companies in Sensitive Data Discovery Software. They have combined revenues of $3.2B and employ 19.9K people. They have raised $5.1B and serve 34M customers combined.
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.
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.
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.
Concord Technologies is a leading provider of secure document exchange, intelligent document processing, and interoperability solutions to healthcare providers, payers, and other highly regulated businesses.
For over twenty years, billions of sensitive records containing valuable patient information have been reliably, accurately, and securely sent and received across Concord’s digital health network. Today, the company processes over five billion pages of protected data annually.
The company is also recognized for its best-in-class development of new artificial intelligence technologies, including Concord’s Practical AI™ approach to solving the most pervasive administrative challenges in the healthcare industry, and for its industry-leading applications that help its customers grow and manage their business.
Greenlight provides customers with a market leading platform that is built to protect the world'ss most valuable application data. Greenlight integrates into over 100 applications out of the box, including SAP, Oracle, Workday, Salesforce, and many more. Our platform monitors all user access permissions for SoD conflicts and data security controls across all your applications from one panel, while also monitoring all user activities to make sure people are using those permissions appropriately. Greenlight automates your user access reviews and can identity all sensitive data access to produce compliant reporting for SOX, CCPA, GDPR, and many more regulations. Customers love our automation, and auditors trust our reports.
Developer of a data leak detection system designed to offer data security to companies. The company's system discovers sensitive document leaks which are then brought back to their owners as soon as possible to protect their image, competitiveness and security enabling companies to secure sensitive data and protect their data systems.
Very Good Security is a fintech & data security enablement platform helping to maximize the value of data without compliance & breach risk.
Revenue
$33.2M
Customers
-
Year founded
2015
Funding
$60M
Team size
270
Growth
-
Inclusion Criteria
- 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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