Data Handling - Securing AI in Sisense Intelligence
Sisense Intelligence brings powerful AI capabilities to every layer of the analytics experience. Sisense believes in responsible AI; as such, we are committed to ensuring that these capabilities meet the highest standards for privacy, control, and enterprise-grade data governance. This documentation outlines how Sisense protects your data, manages AI driven workflows and agents, and empowers your organization to use these tools with confidence.
General Principles
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No model training on your data - Sisense never uses your data to train any models.
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Sisense minimizes data exposure and transmits only what is essential to the functioning of its AI features:
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Local architecture first - many Sisense Intelligence features run entirely inside your Sisense environment.
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Governed - System level controls exist for all Sisense Intelligence features, with select features allowing data model, dashboard or widget-level configuration.
Sisense Intelligence Features and Cloud Dependency
Sisense features fall into two categories - Cloud-linked and Local:
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Cloud-linked: Require access to Sisense cloud services including Large Language Models (LLMs) and a Vector database. These features include all of our Generative AI features and their underlying REST APIs.
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Assistant
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Narrative
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Semantic Enrichment
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Smart Value Matching
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REST APIs include:
/ai/chats/{chatId}
/ai/recommendations/query/{sourceId}/{numOfRecommendations}
/ai/describe/query
/ai/nlg/queryResult
/ai/nlq/query/{sourceId}
/ai/recommendations/{datamodelId}/table-relations
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Local: Run entirely within the customer environment without cloud dependencies.
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Explanation
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Forecast
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Trend
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Exploration path
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Simply Ask (NLQ)*
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Knowledge Graph**
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*Simply Ask will be deprecated in 2026. We recommend using the Assistant feature instead, which provides enhanced conversational capabilities with better contextual understanding.
** The Knowledge Graph is a native Sisense service used to power Sisense Intelligence features such as Explanation and Simply Ask. Each deployment maintains its own instance, and tenant data is isolated.