If you want a platform that fits with your existing development tools and offers real-time data flow diagrams and automated privacy risk discovery, Privado is a good option. It provides end-to-end visibility into the data lifecycle and continuous privacy governance, linking the world of privacy to the world of engineering. It includes data flow discovery, RoPA, PIA, DPIA automation and developer collaboration, and integrates with your existing source code management, CI/CD pipeline and privacy management tools to automate privacy governance and ensure GDPR compliance.
Another good option is DataGrail, a data privacy management platform that's designed to help reduce risk and increase customer trust. It automates processes like data subject requests and consent management, and includes features like shadow IT and AI detection. DataGrail is a G2, Gartner and IDC leader in data privacy, which means organizations can easily stay on top of GDPR and CCPA regulations.
If you have a wider range of data management and security needs, OneTrust offers an end-to-end data management platform that includes data discovery, risk management, AI governance and compliance automation. It has a wide range of integrations to build data management into existing application workflows, so organizations can go beyond compliance and build trust with stakeholders.
Last, Ethyca is a privacy engineering and intelligence platform that automates up to 90% of complex data privacy requirements. It includes features like global consent compliance, automated privacy requests, real-time data mapping and privacy as code capabilities. It's good for a variety of industries, reducing manual work for legal and engineering teams and ensuring compliance with global privacy laws.