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Amazon Quick Enables Real-Time Governed Data Queries in AI-Built Applications

Amazon Quick now lets AI-built applications query governed Quick Sight datasets in real time while enforcing user-specific security policies.

This article was AI-generated and published automatically. Context, labelling and all sources at the end of the article.

(KI-generiertes Symbolbild: Gemini / AI Connect)

Amazon Quick has introduced a capability named Live Data in Apps that connects software created by artificial intelligence directly to corporate data repositories. Under this functionality, AI-generated applications retrieve information from governed Quick Sight datasets dynamically as queries occur. This direct data retrieval model replaces the conventional practice of relying on static snapshots taken at build time.

Data governance is preserved during these live interactions by tying every request directly to the identity of the current user. Because each query executes as the individual who is viewing the interface, row-level and column-level security restrictions are applied per reader. In addition, the platform allows users to build, publish, and distribute these live-data tools using natural language prompts.

What this means for you

This feature allows organizations to deploy AI-driven interfaces without exposing restricted enterprise data across different teams. Because security controls apply per individual viewer, existing row and column permissions remain intact automatically. Technical teams can therefore deliver real-time data applications through conversational prompts while adhering to baseline governance policies.

Evidence

Solidly sourced
46/100
  • AI-built applications retrieve information from governed Quick Sight datasets in real time rather than relying on build-time snapshots.

    single source
    Quote

    „AI-built apps query your governed Quick Sight datasets in real time instead of static, build-time snapshots.“

  • Security boundaries at the row and column levels apply based on the identity of the viewer running the query.

    single source
    Quote

    „Each query runs as the person viewing the app, so row-level and column-level security apply per reader.“

  • Live-data applications can be created, published, and distributed using natural language.

    single source
    Quote

    „Learn how to build, publish, and share a live-data app using natural language.“

The evidence score is computed, not hand-set: from confidence, the number of sources and the share of verified statements.

Source & transparency

As of: October 01, 2026

AI-generatedAI-generated: produced automatically from vetted sources with technical quality checks (source, quote and figure verification); no human sign-off of each item before publication

Sources
1
Verified statements
0 / 3
Evidence score
46Solidly sourced

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