Organizations are increasingly leveraging Data streams for processing and analysis of constant, continuous and fast-moving data such as web engagement, eCommerce transactions, IoT device transmissions, or geolocation and traffic monitoring. Confluent Kafka Stream Catalog provides a market-leading solution for real-time data aggregation, sampling, and filtering, allowing analysts to access data instantly and gather actionable insights or make adjustments as changes occur.
However, IT Security teams must strike a balance between protecting sensitive data and making sure organizations can extract business value from technology investments. However, it has proven challenging to effectively gain visibility into sensitive data that moves within data streams.
In this webinar, we will discuss these challenges, how data security solutions are mostly unable to identify sensitive data within stream solutions, and how to better protect sensitive data within Confluent Kafka Stream Catalog and reduce the risk of a data leak or breach, as well as assure compliance.