GDPR Register Reviews

This diagnostic will allow you to assess your GDPR compliance. It will help you identify areas that need improvement, create an action plan, prioritize the steps needed to move through the compliance process smoothly. Using built-in templates, you can work together to speed up processing mapping. You can choose from a variety of standard processing activities, or add new ones. Once you have completed the information, validate your processing mapping. It doesn't matter if you are contacting data subjects directly or processing their requests via secure authentication, it is easy to manage and archive data subject inquiries from your employees, customers, or service providers all on one platform. The user interface is intuitive, simple, and secure. Automate your processes, map out your processing activities, generate your record in a few mouse clicks, manage and archive employee, customer, and service provider DSRs easily. You can use built-in templates for creating standard contracts, clauses and emails, as well as legal notices.

Transparency, choice and control are key to trust. Organizations have the opportunity to leverage these moments to build trust, and provide more valuable experiences. People expect greater control over their data. We offer privacy and data governance automation to help organizations better understand and comply with regulatory requirements. We also operationalize risk mitigation to ensure transparency and choice for individuals. Your organization will be able to achieve data privacy compliance quicker and build trust. Our platform helps to break down silos between processes, workflows, teams, and people to operationalize regulatory compliance. It also allows for trusted data use. Building proactive privacy programs that are rooted in global best practice and not just reacting to individual regulations is possible. To drive mitigation and risk-based decision-making, gain visibility into unknown risks. Respect individual choice and integrate privacy and security by default in the data lifecycle.