• Slack AI built from scratch, prioritizing security and privacy for enterprise users. • Customer data never exits Slack’s trust boundary; no LLM training on proprietary content. • Search pulls in up-to-date, permissioned content from integrated apps like Google Drive and GitHub. • External data is never stored; permissions sync in real-time, respecting least privilege. • Users and admins explicitly grant/revoke Slack access to external sources, ensuring control. • Slack AI and enterprise search integrate seamlessly with existing enterprise‑grade compliance and security offerings.
Article Summaries:
- Many don’t know that “Slack” is in fact a backronym-it stands for “Searchable Log of all Communication and Knowledge”. And these days, it’s not just a searchable log: with Slack AI, Slack is now an intelligent log, leveraging the latest in generative AI to securely surface powerful, time-saving insights. We built Slack AI from the ground up to be secure and private following principles that mirror our existing enterprise grade compliance standards: - Customer data never leaves Slack’s trust boundary. - We do not train large language models (LLMs) on customer data. - Slack AI only operates on t
- Slack has expanded its AI‑powered search to include content from connected apps such as Google Drive and GitHub while maintaining strict security and privacy standards. The new enterprise search uses the same closed‑source large language models hosted in an escrow VPC as Slack AI, ensuring customer data never leaves Slack’s trust boundary. Instead of training on user data, the system employs Retrieval‑Augmented Generation (RAG), feeding the model only the permission‑checked content needed for each query. External data is never stored, and access is granted only by explicit user or admin approval, with permissions kept up‑to‑date and the principle of least privilege enforced.
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