---
title: "White Paper: AI Guardrails"
description: Disover how to extend Microsoft Purview’s data discovery and protection capabilities to better manage insider threats, secure collaboration and meet compliance in Microsoft 365 and beyond.
---

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# White Paper

AI Guardrails: Building Safe, Reliable, and Trustworthy AI Systems for the Enterprise

# As organizations accelerate AI adoption, they’re discovering that the opportunity comes with new risks. Rapidly deployed AI models and strategies can introduce security, compliance, and governance challenges that may undermine the value AI is designed to deliver.

**Building Safe, Reliable, and Trustworthy AI Systems for the Enterprise** explores how organizations can establish the guardrails needed to adopt AI responsibly, without slowing innovation.

This paper will explore:

- Current trends in enterprise AI adoption
- The risks of hastily deployed AI models and strategies for avoiding them
- Best practices for building governance frameworks that enable, rather than hinder, AI initiatives
- Key considerations for governing the training and fine-tuning of Large Language Models (LLMs)

Whether you’re already responsible for AI governance or preparing to take on that role, this white paper provides practical guidance for developing a governance program that helps your organization capture the benefits of AI while managing its risks.

**Who This Is For**  
AI, IT, security, risk and compliance leaders responsible for AI deployments

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