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Image Credit: Slack

How we built enterprise search to be secure and private

  • Slack AI, built securely and privately, operates on data the user can see and integrates with compliance standards.
  • Enterprise search in Slack now extends to data from key apps like Google Drive and GitHub, upholding security standards.
  • Features like Retrieval Augmented Generation ensure user data privacy, as Slack AI operates on user-accessible data.
  • Enterprise search, adhering to Slack AI principles, utilizes federated, real-time data approach for external sources.
  • External data access and permissions are kept up to date without storing data in the database.
  • Users must grant explicit access to external sources, with full control to revoke access at any time.
  • Following the Principle of Least Privilege, enterprise search requests only necessary OAuth scopes for search queries.
  • Salesforce emphasizes trust and privacy, ensuring data security in the enterprise search experience.
  • The architecture of enterprise search revolves around upholding privacy and security principles.
  • Slack AI ensures data privacy, utilizing closed-source LLMs and user-permissioned data access.

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