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Databricks enhances AI/BI dashboard security with per-viewer access controls

By PulseAugur Editorial · [1 sources] ·

Databricks has introduced a new pattern for securing AI/BI dashboards, enabling a single dashboard to serve multiple viewers with distinct data access. This approach utilizes Unity Catalog's row filters and column masks, driven by a centralized entitlements table. The system assigns a unique `__aibi_external_value` to each viewer, controlling which data rows and columns are displayed, thus allowing external partners and internal teams to safely share the same embedded dashboard while adhering to specific access rules. AI

IMPACT Enables secure sharing of AI-driven insights across diverse user groups, potentially increasing adoption of embedded analytics.

RANK_REASON The article describes a new pattern for securing AI/BI dashboards, which is a product feature enhancement.

Read on Databricks Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Databricks enhances AI/BI dashboard security with per-viewer access controls

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5 / 100
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Tool
The article describes a new pattern for securing AI/BI dashboards, which is a product feature enhancement.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
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High
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Same-day
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Databricks Blog TIER_1 English(EN) ·

    Beyond embedding: How to secure AI/BI Dashboards for every viewer

    The challengeEmbedding a Databricks AI/BI Dashboard in a customer-facing application is relatively straightforward...

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