De-identifying Cloud Data Pipelines: Approaches, Best Practices, and Learnings

Presented by

Ameesh Divatia, CEO, Baffle and Syl Yelle, Head of Sales, Baffle

About this talk

Cloud-based data lakes and data stores provide tremendous business value for next-gen analytics, machine learning and artificial intelligence, as well as sharing data with partners. However, they also present a large challenge for protecting the exploding volume of sensitive data that is being collected and moved to cloud platforms such as Amazon Redshift and Snowflake. A critical protection measure is de-identifying sensitive data as it is being migrated from on-prem sources to the cloud and staged for use in downstream applications. There are various approaches and considerations based on your use cases. Modern data security platforms provide cutting-edge solutions that are easy to implement and address today’s threats and attack vectors more comprehensively. Join this webinar and learn about: * Data de-identification methods and architectures * Comparing modern data protection platforms versus database native encryption * Data masking, tokenization, field and record level encryption, and object/file encryption * No-code solutions that require no application modifications * Ensuring high performance and minimal downtime * Role-based access control for secure data access and sharing * Privacy-enhanced computation and analytics
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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.