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Salesforce Tightens Slack API Rules to Limit LLM Data Access

▼ Summary

– Slack updated its API terms of service to block organizations from using LLMs to ingest its data for training purposes.
– The change aims to improve enterprise data discovery and search by restricting bulk data exports via Slack’s API.
– The new policy, effective May 29, explicitly bans using Slack API data to train large language models.
– Companies must now use Slack’s Real-Time Search API, which limits search functionality to within Slack itself.
– This shift could significantly impact internal and third-party AI apps that relied on Slack data for processing.

Salesforce has updated Slack’s API policies to restrict how companies can use platform data with large language models, marking a significant shift in enterprise data management. The changes specifically target bulk data exports and explicitly ban using Slack information to train AI systems, forcing organizations to adapt their workflows.

These adjustments appeared in Slack’s revised terms of service on May 29 under a new section titled Data Usage. The updated rules clarify that APIs can no longer facilitate mass data extraction for LLM training, effectively limiting how third-party tools and internal systems process Slack content. Instead, businesses must now rely on Slack’s Real-Time Search API, which confines search functionality to the platform itself.

While the move may seem like a minor technical update, its impact could be far-reaching. Many organizations have come to depend on AI-powered tools to organize and analyze sprawling Slack conversations. The policy shift disrupts these workflows, pushing companies toward native solutions rather than external AI integrations.

By tightening data access, Salesforce aims to strengthen control over enterprise information while addressing growing concerns about AI misuse. The change reflects broader industry trends as platforms reassess how user data interacts with rapidly evolving machine learning technologies. For businesses, adapting to these restrictions may require reevaluating existing AI strategies and exploring alternative methods for managing collaborative data.

(Source: SALESFORCE)

Topics

slack api terms service update 95% restriction llm training slack data 90% enterprise data management 85% real-time search api 80% impact ai-powered tools 75% data usage policy changes 70% salesforces control over enterprise data 65% industry trends data ai 60%