When enterprise data sits behind a corporate firewall or in a private on-premises data center, there’s no direct network path from AWS, even though the AI agents and dashboards in Amazon Quick can query virtually any data source. Administrators must make sure their sensitive enterprise data isn’t exposed to the public internet while being accessible for AI-driven insights and actions.
For many enterprises, routing traffic over the public internet introduces unacceptable risk. Regulatory frameworks such as HIPAA, FedRAMP, and PCI-DSS often mandate that sensitive data remain within controlled network boundaries. Even where compliance isn’t the primary driver, exposing internal data paths increases the attack surface, complicates audit trails and introduces variable latency that can degrade the user experience.
This walkthrough shows you how to connect on-premises data sources to Amazon Quick privately, without traffic traversing the public internet. It assumes you already have AWS Direct Connect or an AWS Site-to-Site VPN linking your on-premises environment to your virtual private cloud (VPC). From that foundation, we configure VPC endpoints powered by AWS PrivateLink so that Quick can reach your private resources over the AWS backbone, then layer security groups and VPC endpoint policies for defense in depth.
By the end, you will have a network architecture that keeps traffic between Quick and your on-premises data sources off the public internet, reducing the attack surface, providing consistent low-latency connectivity, and giving you a clear audit trail for compliance.
Amazon Quick is an AI-powered workspace that brings search, analytics, research, and automation into a single conversational experience.
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