M365.FM - Modern work, security, and productivity with Microsoft 365

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

1 h 25 min · 19. juni 2026
episode Stop Leaking Data: How to Run Local Llama on Your SharePoint Files cover

Beskrivelse

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 exciting developments in the open-source AI ecosystem. Running AI models locally gives organizations complete ownership of both the infrastructure and the data processing pipeline.During the conversation, we explain how Local Llama works, the hardware requirements involved, and how organizations can begin experimenting with private AI deployments without massive cloud costs. CONNECTING SHAREPOINT TO PRIVATE AI SharePoint remains one of the largest repositories of enterprise knowledge. From project documentation and operational procedures to contracts and meeting notes, organizations store enormous amounts of valuable information inside Microsoft 365. Key topics include: * Indexing SharePoint content securely * Retrieval-Augmented Generation (RAG) architectures * Document embeddings and semantic search * Building intelligent chat experiences on internal data REAL-WORLD DEPLOYMENT STRATEGIES Moving from a proof of concept to production requires careful planning. We explore deployment patterns that balance performance, scalability, security, and user experience.Listeners will learn about infrastructure design, GPU considerations, storage requirements, monitoring, and operational best practices. We also discuss common implementation mistakes and how organizations can avoid them while delivering meaningful business value. THE FUTURE OF PRIVATE ENTERPRISE AI The future of enterprise AI may not belong exclusively to cloud-hosted models. As local AI technology continues to evolve, organizations are gaining more options to build intelligent systems that keep sensitive information under their control.This episode examines how private AI solutions could reshape knowledge management, enterprise search, productivity workflows, and digital workplace experiences across Microsoft 365 environments. WHY YOU SHOULD LISTEN If you're evaluating AI adoption within your organization, concerned about data privacy, or looking for practical ways to leverage SharePoint content with large language models, this episode delivers actionable insights and real-world guidance. Learn how to combine the power of modern AI with the security and governance requirements that today's businesses demand.Tune in to discover how Local Llama, SharePoint, and private AI architectures can work together to unlock organizational knowledge without compromising data security. Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365--6704921/support [https://www.spreaker.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365--6704921/support?utm_source=rss&utm_medium=rss&utm_campaign=rss].

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episode Securing Identities at Scale: Conditional Access, Azure Security & Infrastructure as Code with Jonathan Hope [MVP] cover

Securing Identities at Scale: Conditional Access, Azure Security & Infrastructure as Code with Jonathan Hope [MVP]

Identity has become the new security perimeter. As organizations continue moving workloads to Microsoft 365, Azure, and cloud-native platforms, traditional security models are no longer enough. In this episode of the M365 FM Podcast, Mirko Peters is joined by Microsoft MVP Jonathan Hope to explore how modern organizations can secure identities at scale using Conditional Access, Azure Security, Infrastructure as Code, and Zero Trust principles.Jonathan shares lessons learned from more than a decade working with enterprise infrastructure, virtualization, Azure architecture, and identity management. From his early VMware days to designing cloud-first security architectures, he explains why identity protection is now the most critical component of any modern cybersecurity strategy. UNDERSTANDING WHY IDENTITY IS THE NEW PERIMETER The conversation explores how the shift to remote work, cloud applications, and hybrid environments transformed security. Traditional firewalls and network boundaries no longer provide sufficient protection when users, applications, and data are accessible from anywhere.Jonathan explains why attackers increasingly focus on identities instead of infrastructure and how compromised accounts can become the entry point for lateral movement, privilege escalation, and data breaches.Topics discussed include: * Identity-first security strategies * Modern authentication challenges * Cloud-native access controls * Reducing organizational attack surfaces CONDITIONAL ACCESS AS THE MODERN SECURITY CONTROL PLANE One of the central topics of the episode is Microsoft Entra Conditional Access. 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He explains how automation improves consistency, security, and operational efficiency while reducing human error.Key topics include: * Why manual deployments create risk * Desired state configuration concepts * Repeatable Azure deployments * Azure Policy as Code * Version control and Git integration * Security standardization at scale * Building secure Azure environments through automation For cloud architects and Azure administrators, this section provides valuable insights into modern infrastructure management practices. AI, PASSKEYS AND THE FUTURE OF IDENTITY SECURITY The episode also explores how artificial intelligence is changing both offensive and defensive security practices. While attackers increasingly leverage AI to create sophisticated phishing campaigns, organizations can use AI-powered security tools to detect threats and improve security operations.Jonathan shares his thoughts on: * Security Copilot * AI-assisted security operations * Passkeys and phishing-resistant authentication * FIDO2 security keys * Authentication method modernization * Microsoft’s evolving identity roadmap WHY PASSWORDLESS AUTHENTICATION MATTERS As the discussion concludes, Jonathan highlights one security improvement every organization should prioritize today: modernizing authentication methods.The move away from SMS-based MFA and weaker authentication methods toward passkeys and phishing-resistant authentication can dramatically improve an organization's security posture while also delivering a better user experience. FINAL THOUGHTS If your organization relies on Microsoft 365, Entra ID, Azure, Conditional Access, or Zero Trust security principles, this episode delivers practical guidance from real-world experience. Learn how to build stronger identity defenses, automate secure cloud deployments, and prepare your environment for the next generation of cybersecurity challenges. CONNECT WITH M365 FM Subscribe to M365 FM for expert conversations covering Microsoft 365, Azure, AI, Security, Governance, SharePoint, Copilot, Data Management, and the future of modern workplace technology. Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365--6704921/support [https://www.spreaker.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365--6704921/support?utm_source=rss&utm_medium=rss&utm_campaign=rss].

19. juni 202657 min
episode Stop Leaking Data: How to Run Local Llama on Your SharePoint Files cover

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

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 exciting developments in the open-source AI ecosystem. Running AI models locally gives organizations complete ownership of both the infrastructure and the data processing pipeline.During the conversation, we explain how Local Llama works, the hardware requirements involved, and how organizations can begin experimenting with private AI deployments without massive cloud costs. CONNECTING SHAREPOINT TO PRIVATE AI SharePoint remains one of the largest repositories of enterprise knowledge. From project documentation and operational procedures to contracts and meeting notes, organizations store enormous amounts of valuable information inside Microsoft 365. Key topics include: * Indexing SharePoint content securely * Retrieval-Augmented Generation (RAG) architectures * Document embeddings and semantic search * Building intelligent chat experiences on internal data REAL-WORLD DEPLOYMENT STRATEGIES Moving from a proof of concept to production requires careful planning. We explore deployment patterns that balance performance, scalability, security, and user experience.Listeners will learn about infrastructure design, GPU considerations, storage requirements, monitoring, and operational best practices. We also discuss common implementation mistakes and how organizations can avoid them while delivering meaningful business value. THE FUTURE OF PRIVATE ENTERPRISE AI The future of enterprise AI may not belong exclusively to cloud-hosted models. As local AI technology continues to evolve, organizations are gaining more options to build intelligent systems that keep sensitive information under their control.This episode examines how private AI solutions could reshape knowledge management, enterprise search, productivity workflows, and digital workplace experiences across Microsoft 365 environments. WHY YOU SHOULD LISTEN If you're evaluating AI adoption within your organization, concerned about data privacy, or looking for practical ways to leverage SharePoint content with large language models, this episode delivers actionable insights and real-world guidance. Learn how to combine the power of modern AI with the security and governance requirements that today's businesses demand.Tune in to discover how Local Llama, SharePoint, and private AI architectures can work together to unlock organizational knowledge without compromising data security. Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365--6704921/support [https://www.spreaker.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365--6704921/support?utm_source=rss&utm_medium=rss&utm_campaign=rss].

19. juni 20261 h 25 min
episode Futureproofing Your Career in the Age of AI with Sarah Jones cover

Futureproofing Your Career in the Age of AI with Sarah Jones

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She discusses the challenges women still face in the technology industry and why visibility, mentorship, and representation continue to matter.The conversation also explores her Misfits Podcast, a platform dedicated to amplifying the voices of women in technology and encouraging more professionals to share their experiences and expertise. CAREER ADVICE FOR THE NEXT DECADE As organizations continue to invest in AI, automation, and digital transformation, professionals must remain adaptable and proactive. Sarah encourages listeners to continuously learn, invest in their networks, embrace new technologies, and develop skills that machines cannot easily replace.The future belongs to people who are willing to evolve, experiment, and take ownership of their career journey.If you're wondering how AI will impact your career, whether freelancing is right for you, how to improve your LinkedIn presence, or what skills will matter most in the coming years, this episode delivers practical insights and actionable advice from someone who works at the intersection of technology, recruitment, and career growth every day. CONNECT WITH SARAH JONES Learn more about Sarah Jones, her career coaching services, freelancing community, and technology initiatives through the links included with this episode. LISTEN NOW Subscribe to the M365 Podcast for more conversations with Microsoft MVPs, technology leaders, AI experts, community builders, and innovators shaping the future of Microsoft 365, Copilot, Power Platform, Dynamics 365, Azure, Identity, Security, AI, and Digital Transformation. Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365--6704921/support [https://www.spreaker.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365--6704921/support?utm_source=rss&utm_medium=rss&utm_campaign=rss].

I går1 h 3 min
episode The Architect's Guide to MCP: Building the Connectivity Layer for Microsoft AI Agents cover

The Architect's Guide to MCP: Building the Connectivity Layer for Microsoft AI Agents

In this episode of the M365.fm podcast, we take a deep architectural dive into one of the most important developments in the AI ecosystem: the Model Context Protocol (MCP). While much of the industry focuses on models, prompts, copilots, and reasoning capabilities, the reality is that AI agents are only as powerful as the systems they can access. MCP is rapidly emerging as the standard connectivity layer that enables Microsoft Copilot, custom AI agents, Dynamics 365, Azure services, and enterprise applications to work together through a common protocol. WHY AI AGENTS HAVE A CONNECTIVITY PROBLEM Most organizations have already invested in Microsoft Copilot, AI assistants, and agentic solutions. The challenge isn't intelligence anymore. Modern AI systems can summarize meetings, draft content, analyze data, and generate code. 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I går1 h 24 min
episode From Project Online to AI-Powered Project Delivery: The Evolution of Dynamics 365 Project Operations with Joe Griffin [MVP] cover

From Project Online to AI-Powered Project Delivery: The Evolution of Dynamics 365 Project Operations with Joe Griffin [MVP]

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Joe also discusses how Azure Service Bus, Azure Functions, and modern integration architectures help organizations scale complex project environments.The episode provides valuable guidance for solution architects and technical leaders looking to design enterprise-grade project management solutions that remain scalable and maintainable over time. ARCHITECTURE AND EXTENSIBILITY TOPICS: * Power Apps customization strategies * Power Automate workflows * Power BI reporting and analytics * Azure integration patterns * Enterprise architecture best practices THE ROLE OF MICROSOFT FABRIC AND AI FOUNDRY Looking ahead, the conversation explores emerging technologies such as Microsoft Fabric and Azure AI Foundry. Joe explains how Fabric can serve as a centralized data foundation for AI initiatives by bringing together information from Dynamics 365, Power Platform, and other business systems.The discussion highlights how organizations that establish strong data foundations today will be better positioned to take advantage of future AI capabilities. Joe also shares his perspective on AI Foundry, model selection, fine-tuning opportunities, and the growing importance of enterprise-ready AI governance. Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365--6704921/support [https://www.spreaker.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365--6704921/support?utm_source=rss&utm_medium=rss&utm_campaign=rss].

17. juni 202643 min