Implementing Data Privacy Controls for Amazon Redshift and Cloud Data Lakes

Presented by

Harold Byun, VP Products

About this talk

Many infrastructure and platform-as-a-service (PaaS) providers do a great job providing data warehouses and analytics solutions that offer agility and deliver fast results for business intelligence initiatives. In fact, industry analysts estimate that 75% of the world's data is projected to move to cloud and cloud-based analytics platforms such as Amazon Redshift. These providers also support several methods to make it easy to get your data into the cloud. But what do you do when you need to keep your data private or ensure compliance with privacy regulations? How do those requirements impact your data pipeline architecture and operations? And, once your data is "in cloud", how do you control access and implement stronger security controls? Attend this webinar to learn how data can be easily de-identified on-the-fly as part of your data pipeline process as it is staged for use in Amazon Redshift or cloud data lakes. Learn how you can establish a fully de-identified cloud data lake and use adaptive security controls to secure the data while allowing analytics to run on protected data sets for authorized users. Join this webinar and learn about the following: - Common data security gaps for data sources in cloud storage and Amazon S3 - How to avoid making more copies of your sensitive data during the pipeline process - Methods for de-identification, tokenization and encryption of data - Architecture models to support a de-identified data pipeline - Enabling secure computation on data in cloud-based analytics platforms
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (18)
Subscribers (2195)
Baffle, the application data protection company, prevents data breaches by securing the end-to-end data access model for applications and databases. Using this method, the technology protects against some of the most recent high-profile attacks and vulnerabilities -including Spectre and Meltdown. With its patent-pending technology, Baffle is the only company that can enable encryption of data at-rest, in use, in memory and in the search index without impacting the application using AES encryption. Baffle is also the first company to enable secure data processing on a commercial application and database to guarantee data protection. Baffle has raised $10.5 million of financing; its investors include True Ventures, Envision Ventures, ServiceNow Ventures [NYSE: NOW], Thomvest Ventures, Engineering Capital, and Industry Ventures.