Notion AI

Descrizione Funzioni Autorizzazioni Sicurezza e conformità

Notion is a collaborative AI workspace where teams and agents work together. Build and orchestrate agents right alongside your team's docs, projects, and meetings.Notion AI works where your team does. Enterprise Search helps you find the information you need by searching across your Notion workspace, Slack, and other apps. It summarizes threads, finds next steps, and pulls in relevant context. Notion Custom Agents automate recurring work for your entire team — from answering repeat questions in Slack, to automatically filing and triaging tasks, to generating project status reports.Note: Notion AI answers are generated using LLMs like GPT-5 and Claude. You should double-check all answers for accuracy. To learn more about the Notion AI Connector for Slack, visit our documentation here: https://www.notion.com/help/notion-ai-connectors-for-slackNote: Notion AI app for Slack uses Slack’s Real-time Search API for keyword search and semantic search functionality.

Notion AI potrà visualizzare:

Notion AI potrà:

Rivedi i dettagli per comprendere meglio le regole di protezione dell'app. Per scoprire di più sulla valutazione delle app per l’area di lavoro, visita il Centro assistenza.

Generale

Privacy e governance dei dati

Criteri di conservazione dei dati

Slack content is stored as embeddings using vector databases like Turbopuffer. These embeddings allow for efficient searches and comparisons across different pieces of text to provide accurate and relevant responses to your questions. Notion’s vector databases have been reviewed by our Security team and independently assessed by an external auditor as part of our SOC 2 Type II attestations. See https://www.notion.com/help/notion-ai-security-practices for more information.

Criteri di archiviazione ed eliminazione dei dati

Notion treats your Slack content with the privacy principle of data minimization in mind. If you decide to disconnect your Slack environment from Notion AI, your Slack content will become unsearchable, and we will begin deleting any data that is stored.

Criteri di archiviazione dei dati

Slack content is stored as embeddings using vector databases like Turbopuffer. These embeddings allow for efficient searches and comparisons across different pieces of text to provide accurate and relevant responses to your questions. Notion’s vector databases have been vetted by our Security team as well as by an external auditor to obtain their SOC2 Type II attestations. For specific locations, please refer to this link: https://notion.notion.site/Notion-s-List-of-Subprocessors-268fa5bcfa0f46b6bc29436b21676734?pvs=74

L’app/servizio si avvale di sub-incaricati

yes

Linee guida per i sub-incaricati

https://notion.notion.site/Notion-s-List-of-Subprocessors-268fa5bcfa0f46b6bc29436b21676734?pvs=74

L’app/il servizio utilizza modelli linguistici di grandi dimensioni (LLM)

yes

Modello/i LLM utilizzato/i

Open AI models, Anthropic models

Impostazioni di conservazione LLM

When using Notion AI, our LLM providers utilize zero data retention, so no data is stored with LLM providers.

Politica di conversazione dei dati LLM

Notion AI uses LLMs both on Notion‑hosted infrastructure and via third‑party providers, with any data sent to provider‑hosted models transmitted through their APIs. please refer to the list of subprohttps://www.notion.com/help/notion-ai-security-practices

Politica di residenza dei dati LLM

Regarding data residency around our LLMs, please refer to the list of subprocessors here for the most updated list and locations: https://www.notion.com/help/notion-ai-security-practices

Certificazioni e conformità

Sicurezza