How to Use Data Masking to Protect Sensitive Data in Your DevOps Pipelines

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Presented by

Tali Einhorn, Product Manager & Hod Rotem, VP Solution Engineering at K2View

About this talk

Data masking is critical for data-driven businesses that must comply with a growing number of data protection laws, and safeguard against ever-increasing cyber threats.  Yet, the growing velocity, variety, veracity, and volumes of data makes data masking a complex operational obstacle that is slowing down businesses. Join us in this webinar to learn how to implement a comprehensive, automated, enterprise-grade data masking program that addresses the complex challenges most enterprises face. We'll cover: * The core components of a data masking framework * Static, dynamic, and unstructured data masking * Common implementation challenges * A novel approach to data masking, based on business entities * How to mask unstructured data (checks, documents, chat scripts, and more), including a demo

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K2View provides an enterprise Data Fabric that delivers an integrated layer of always-fresh, clean, connected data -- to fuel operational and analytical workloads -- at massive scale. Enterprises deploy our data fabric in their cloud of choice or on premise, to deliver outstanding multi-channel customer service, minimize churn, achieve hyper segmentation, assure data compliance, and more. The platform continually ingests fragmented data from disparate systems, unifies it by business entity, enriches it with real-time insights, and saves it into millions of micro-databases (mDB™) -- one mDB for every instance of a business entity. Every mDB provides a real-time and trusted 360-degree view of its business entity, accessible on demand by operational applications, or pipelined directly into data lakes and warehouses.