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Analyze your AI risks and organizational readiness to establish robust Microsoft Purview fundamentals and implement controls with Grant Thornton’s Microsoft certified team
Establishing Microsoft Purview fundamentals effectively is essential for organizations seeking to boost productivity while maintaining control, reducing risk, and protecting sensitive information. As users rely on AI tools to summarize, draft, and reason across email, chats, and documents, organizations must first ensure they have the right data security, compliance, and governance foundations in place. Without these core fundamentals, AI can amplify existing data exposure, oversharing, and access challenges – creating security vulnerabilities, operational friction, and compliance concerns. Purview provides a unified solution within Data Security and Compliance to help organizations build that foundation through data discovery, classification, labeling, Data Loss Prevention, and policy enforcement. With visibility into sensitive and high-value data across Microsoft 365, Purview helps organizations strengthen controls before broad AI adoption. Integrated auditing, investigation, and remediation capabilities further support long-term operational success – empowering teams to use AI effectively while mitigating risk and supporting responsible growth.
Key Purview Fundamentals for AI Readiness
-Understand your data: Purview provides visibility into where sensitive and business-critical data lives across your organization, how it is being used, and where it may be exposed. Organizations can use this insight to strengthen their data foundation and better prepare for AI adoption. -Assess your compliance profile: Enable your organization to monitor and respond to evolving regulatory requirements, internal policies, and data governance expectations. Utilize compliance capabilities to evaluate risks, identify control gaps, and support responsible AI readiness. -Implement Security Controls: Protect your organization’s data through sensitivity labels, data loss prevention, access controls, and policy enforcement. Increase end user awareness of risky behavior and reduce the likelihood of oversharing or unauthorized access as AI usage expands.