Why Your AI Agent Lies: Fixing RAG Hallucinations & Data Leaks

Why Your AI Agent Lies: Fixing RAG Hallucinations & Data Leaks is explained in this M365 FM video guide. Learn the core concepts, key capabilities, practical use cases and implementation considerations for real-world Microsoft environments.

Most AI implementations rely on a single agent to retrieve, reason, and respond, but this architecture is often a recipe for disaster. When numbers have no chain of custody and evidence is invented under token pressure, your AI becomes a liability rather than an asset. In this deep dive, we investigate why single-agent trust is the first crime scene and how to build a multi-agent system that stands up to the toughest audits.

We break down the technical failures of single-agent systems through four critical case files: hallucinations, security leakage, RAG drift, and audit failures. You will learn how to separate duties between specialized retrieval, reranking, and verification agents to ensure every claim is backed by a verifiable passage. We also explore the essential role of Azure API Management and Microsoft Purview in creating a tamper-evident dossier for every interaction.

By the end of this video, you will have a clear reference architecture for Microsoft 365 and concrete build steps to harden your tenant. Whether you are working with SPFX, Azure OpenAI, or LlamaIndex, these strategies will help you move from a simple story generator to a robust system of record. Stop letting your AI drift into fiction and start building for reenactment and truth.

Chapters
0:00 The Single Agent Crime Scene
2:45 The Hallucination Pattern Explained
5:30 Case File 1: Why Scope Expansion Fails
8:15 Splitting Retrieval and Generation Roles
11:00 Case File 2: Security Leakage and Prompt Injection
14:15 Implementing Red and Blue Policy Agents
17:30 Case File 3: The Problem with RAG Drift
20:45 Maintaining Index Freshness and Hybrid Search
23:50 Case File 4: Audit Failures and Chain of Custody
26:30 Designing a Multi Agent Reference Architecture
29:15 Threat Modeling and Security Controls
32:00 Build Steps: SPFX and Azure OpenAI Integration
35:41 Conclusion and Next Steps

If you found this investigation helpful, make sure to subscribe for more deep dives into AI architecture and security. Watch our next video on APIM and PTU bursting to further harden your enterprise AI deployment.

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