Building a Secure Data and AI Platform

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Presented by

Vignesh Rajamani, Product Lead, BigQuery Security & Compliance & Lanre Ogunmola, Cloud Security Architect, Google Cloud

About this talk

Gain the peace of mind you need to innovate with data and AI. This webinar reveals how Google Cloud's multi-layered security strategy protects your valuable data assets. We'll cover how to build a robust security framework, precisely manage data access, and establish secure perimeters, enabling you to confidently leverage data for strategic advantage. Register to attend this webinar to learn: - Establish secure perimeters around sensitive data using VPC service controls, next-gen firewalls, and network-level security, defending against threats and data exfiltration. - How to build a robust data security framework with a multi-layered approach, including encryption, access controls, and data masking. - Precisely manage data access with identity and access management, multi-factor authentication, and organization policies for granular control.
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Google’s Data and AI Cloud is not only the most complete and unified data analytics and AI solution provider in the market but also a total-cost-of-ownership (TCO) leader. Learn more about Google Data Cloud and how it can help you transform your business. It supports various data use cases (e.g. applications, analytics, predictions, visualizations) through products that cater to different data personas (e.g. application developers and system builders, data engineers and data analysts, data scientists and ML engineers, and business users).
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