Best practices for protecting sensitive data in AWS with Amazon Macie

Type: Solutions best practice | Level: 300

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.

What you'll learn:

• Learn best practices to discover sensitive data in AWS
• Learn how to create workflows to help protect sensitive data in AWS
• Learn cost efficiency tips and tricks for data governance and data protection use cases

Speaker(s): Himanshu Verma, AWS Principal Security Specialist,

Who Should Attend: Cloud Security teams, Data Governance teams, Data Security teams, Data engineers, DevSecOps.