Controlling Data Leakage from AWS S3 and Cloud Storage

Presented by

Harold Byun, VP Products

About this talk

There has been no shortage of data leakage scenarios from AWS S3 due to mis-configured security controls. In many of these cases, sensitive data and PII have been exposed and that is partly due to the fact that S3 often gets used as a data source for data warehousing and analytics pipelines. As a result, many organizations are looking for ways to de-identify data flowing into S3 or other cloud storage to protect information as it gets consumed by popular analytics platforms such as Snowflake, AWS Redshift, Athena or data lake platforms. Many of these methods require additional development or altering the data pipeline and as a result either slow down the use of cloud-based analytics or leave data potentially exposed. Attend this webinar to learn how data can be easily de-identified, tokenized or encrypted inside S3 objects to help prevent data leakage while still enabling analytics teams to leverage the scale of cloud infrastructure. This session will provide a review of some key data security gaps as they relate to cloud storage in general and AWS S3, and provide a live demonstration of de-identifying data on the fly during a migration. Join this webinar and learn about the following: - Common data security gaps for data sources in S3 - Key differences between existing cloud storage encryption methods and de-identification processes - Methods for de-identification, tokenization and encryption of data - Architecture models to support a de-identified data pipeline
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