# Stop Leaking Data: How to Run Local Llama on Your SharePoint Files

Page: https://stenobird.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365-7311214/stop-leaking-data-how-to-run-local-llama-on-your-sharepoint-files
Text version: https://stenobird.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365-7311214/stop-leaking-data-how-to-run-local-llama-on-your-sharepoint-files.md
Podcast: [M365.FM - Modern work, security, and productivity with Microsoft 365](https://stenobird.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365-7311214)
Published: 2026-06-19T04:00:02+00:00
Episode link: https://www.spreaker.com/episode/stop-leaking-data-how-to-run-local-llama-on-your-sharepoint-files--72534214
Audio file: https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72534214/stop_leaking_data_how_to_run_local_llama_on_your_sharepoint_files.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/m365-fm-modern-work-security-and-productivity-with-microsoft-365-7311214/episodes/stop-leaking-data-how-to-run-local-llama-on-your-sharepoint-files
Duration seconds: 5109

## Resource

AI is transforming the way organizations work with knowledge, documents, and collaboration platforms. But as more businesses adopt AI-powered assistants and large language models, one critical question continues to surface: how can you unlock the power of AI without exposing sensitive corporate information to external services?In this episode, we explore how organizations can run Local Llama models directly against SharePoint content while maintaining full control over their data. Instead of sending confidential documents, intellectual property, customer records, and internal knowledge to cloud-hosted AI services, local AI architectures provide a powerful alternative that prioritizes privacy, governance, and security.Our discussion breaks down the practical steps required to connect locally hosted large language models with SharePoint data sources. We examine the technologies involved, the infrastructure considerations, and the trade-offs between convenience and data sovereignty. Whether you are an IT professional, Microsoft 365 administrator, security architect, or AI enthusiast, this episode provides valuable insights into building private AI solutions on top of your existing Microsoft 365 environment. UNDERSTANDING THE DATA PRIVACY CHALLENGE As organizations rush to embrace generative AI, many overlook the risks associated with sending sensitive business data to third-party platforms. Data leakage, compliance concerns, and regulatory requirements are becoming major factors in AI adoption strategies.We discuss: Why data sovereignty matters in the age of AI Common risks associated with public AI services Regulatory and compliance considerations How local AI models can reduce exposure risks WHAT IS LOCAL LLAMA? Local Llama models have emerged as one of the most excitin…

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/m365-fm-modern-work-security-and-productivity-with-microsoft-365-7311214/episodes/stop-leaking-data-how-to-run-local-llama-on-your-sharepoint-files/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365-7311214/stop-leaking-data-how-to-run-local-llama-on-your-sharepoint-files.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.