Privado automates privacy code scanning to provide real-time visibility and governance over how personal data is collected, used, shared, and stored within software applications. This technology enables organizations to quickly identify privacy risks and ensure compliance with regulations like GDPR and CPRA, reducing the time to build data maps from months to days.
Funding
$17.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations lack real-time visibility into how personal data is handled within their software, making it difficult to identify privacy risks and ensure compliance with regulations like GDPR and CPRA. Manually building data maps to track data collection, usage, sharing, and storage is a time-consuming process, often taking months to complete.
Solution
Privado automates privacy code scanning, providing continuous visibility and governance over personal data handling within software applications. By scanning the code that powers websites, applications, and backend systems, Privado automatically builds and updates data maps, reducing the time required from months to days. The platform identifies all personal data elements, discovers third-party data sharing, maps data flows, and determines the purpose of data processing. This enables organizations to proactively prevent non-compliant data sharing, automate GDPR RoPA reports, identify risks without assessments, and empower developers to prevent risks before they go live.
Target Audience
Privado targets privacy leaders, security teams, and software development teams within organizations that need to ensure compliance with data privacy regulations and maintain visibility over how personal data is handled in their software.
Features
- Automated personal data inventory, categorizing sensitive data like health, financial, and location information.
- Discovery of all third parties receiving personal data, with backend data sharing coverage via integrations with tag managers and customer data platforms.
- Mapping of data flows, tracking each data element's journey through websites, apps, and backend systems.
- Determination of the purpose of processing for each data element, with AI-powered descriptions of processing activities.
- Automated privacy risk identification based on out-of-the-box and custom policy workflows.
- Real-time privacy guidance and risk alerts delivered to developers as they code.
- Integration with source code management tools (e.g., GitHub, GitLab, Bitbucket) for seamless deployment in the cloud or on-premise.
- Comprehensive coding language support for over 30 languages.