Privacy by Design for your MongoDB iOT Platform

IoT represents a huge opportunity for organizations to develop new business models and accelerate their Industry 4.0 journey. MongoDB is a natural choice for many organizations who want to collect, process, and analyze their heterogeneous IoT data due to its elasticity, enterprise-grade availability, and ease of integration.

The massive volumes and increasingly unstructured nature of IoT data with comprehensive personal data have added new data privacy challenges. For instance, the always-on sensor for monitoring your sleep or activity would automatically transmit health information and be stored in the cloud. Any privacy breach could be a large risk to your customer data.

Can we think of a Privacy First Design to Envision, Evaluate, Elevate and Enable privacy controls to secure IoT data and enable you to create the right privacy experiences for key stakeholders on the MongoDB technology stack?

First Line of Defense for your MongoDB Atlas Data Lake

For a growing global enterprise, its customers have different data storage requirements with data regulations that differ from country to country. With MongoDB Atlas Data Lake becoming a choice of many enterprise customers due to scalable serverless architecture coupled with MongoDB Query Language giving robust data lake with consistent user experience for multiple data types.

Inherently, data lake structures do not come with all of the governance capabilities and policies associated with a traditional database management system, from basic referential integrity, role-based access, and consent governance.

Can we re-imagine data lake security as a pipeline with upstream, midstream, and downstream components? Can we focus on Privacy design and customized controls for each component to add the first line of defense on Atlas Data Lakes' existing security blueprint?

Re-imagine data lake security on your Atlast Data Lake