Best practices for protecting sensitive data in AWS with Amazon Macie - AWS Online Tech Talks

Best practices for protecting sensitive data in AWS with Amazon Macie - AWS Online Tech Talks

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Best practices for protecting sensitive data in AWS with Amazon Macie - AWS Online Tech Talks
Sensitive data discovery and classification is vital to help protect your business data as well as meeting compliance and regulatory requirements of your business. Amazon Macie is a data security service that uses machine learning and pattern matching to discover sensitive data and help protect it by identifying potential concerns such as unencrypted buckets, publicly accessible buckets, and misconfigured access policies. In this session, you will learn how to efficiently design and operate a scalable sensitive data discovery solution that optimizes cost, operationalizes response actions to sensitive data findings, and remediates S3 buckets that are out of policy. Learning Objectives: * Objective 1: Learn best practices to discover sensitive data in AWS. * Objective 2: Learn how to create workflows to help protect sensitive data in AWS. * Objective 3: Learn cost efficiency tips and tricks for data governance and data protection use cases. ***To learn more about the services featured in this talk, please visit: http://aws.amazon.com/macie Subscribe to AWS Online Tech Talks On AWS: https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1 Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch: https://twitch.tv/aws Twitter: https://twitter.com/awsdevelopers Facebook: https://facebook.com/amazonwebservices Instagram: https://instagram.com/amazonwebservices ☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS. #AWS