A t DataTerrain, we excel at ensuring success, especially when it comes to Data Protection in Amazon QuickSight. Drawing from our experts' experiences and insights gained from past projects, we offer valuable knowledge transfer sessions, training, and detailed documents. Our aim is to save your team time and effort. This article provides actionable insights to help you tackle the challenges of Amazon QuickSight effectively.
Amazon QuickSight is a scalable, serverless, embeddable, machine learning-powered business intelligence (BI) service built for the cloud. AWS provides several features to ensure the security and protection of your data in QuickSight.
IAM allows you to manage access to AWS services and resources securely. With IAM, you can create and manage AWS users and groups and use permissions to allow and deny their access to QuickSight.
AWS uses industry-standard SSL/TLS to protect data in transit between AWS, users, and QuickSight. Additionally, QuickSight supports encryption at rest for your data using keys you manage through AWS Key Management Service (KMS).
QuickSight can securely access data within your Virtual Private Cloud (VPC) and on-premises data sources. This ensures that your data does not leave your VPC.
QuickSight integrates with AWS CloudTrail to provide visibility into user activity by recording actions taken in QuickSight. This helps in meeting compliance, governance, and auditing requirements.
QuickSight allows you to control user access to data at row and column level. This ensures that users only have access to the data they are authorized to see.
QuickSight supports MFA, an optional security feature that adds an extra layer of protection on your AWS account.
Remember, while AWS provides these features, it’s essential to follow best practices for managing security configurations, regularly reviewing access policies, and monitoring activity in your QuickSight environment.
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