Microsoft Purview is an end-to-end data governance solution that incorporates numerous data security solutions and tools, including Microsoft Information Protection (MIP), Azure Information Protection (AIP), and Data Loss Prevention (DLP), spanning on-premises, multi-cloud, and Azure environments.
With the rapid emergence of AI-driven tools like Microsoft Copilot, Microsoft Purview has become a critical enabler of AI, playing a crucial role in helping organisations protect their data estate. AI tools may unintentionally expose more sensitive data than intended, making strong data governance strategies, visibility, and control over an organisation’s data assets more essential than ever.
Purview and data governance
Built to address complex compliance risks and privacy requirements, Microsoft Purview centralises essential data management functions, including data discovery, data classification, and access control, which are now foundational for organisations implementing AI tools.
There is often confusion about Microsoft Purview and its relationship with Microsoft Information Protection (MIP) and Azure Information Protection (AIP). Microsoft Purview is the overarching data governance solution that includes MIP, AIP, and DLP, spanning Azure, Office 365, and Dynamics 365. MIP focuses on organisation-wide information protection, while AIP provides data protection across both Azure and non-Azure components (confusingly) like Microsoft 365. Understanding that Purview is the comprehensive data governance framework helps clarify these roles. Despite the complexity, grasping these tools is essential for a robust data governance strategy—especially for organisations adopting AI. If you want AI in your business, you must navigate and understand these layers of protection and governance.
Using Microsoft Purview, organisations can help ensure that their data estate is well-governed and secure, positioning them to adopt transformative technologies like Copilot without compromising on compliance or security standards.
Is Microsoft Purview essential for AI?
As organisations prepare for broader AI adoption, including tools like Microsoft Copilot, effective data governance has become a top priority. Protecting and structuring your data estate is crucial for safer AI integration, and Microsoft Purview offers the capabilities to support this objective. Here are the key reasons why Microsoft Purview is becoming essential:
Securing the data estate for AI readiness
As organisations look to integrate AI tools that leverage large data sets, securing the data estate is the first step. Microsoft Purview provides a framework for ensuring data is accessible, controlled, and compliant, paving the way for responsible AI use. With robust data governance in place, organisations can confidently integrate Copilot and similar AI tools without fear of exposing sensitive data or non-compliant data.
Unified data governance and compliance
Purview’s centralised data governance capabilities allow organisations to manage their entire data estate consistently, applying policies across environments to secure data used by AI and non-AI applications alike. For example, Purview’s automated data discovery and data classification features can identify sensitive information across multiple, disparate data sources, ensuring that only approved datasets are used by AI applications, aligning with privacy and regulatory requirements.
Enhanced integration with Microsoft ecosystem
Microsoft Purview integrates seamlessly with Microsoft services, including Azure, Office 365, and Dynamics 365, simplifying the process of securing and governing data across these platforms. Many Microsoft organisations turn to Microsoft Purview and Microsoft’s data security solutions due to the native integration within their environment and its comprehensive data security feature set. With features like the Microsoft Purview Portal, administrators can control data access and monitor data risks in real time, ensuring that AI-driven features align with organisational policies and compliance needs.
Operational efficiency through automation and data classification
Purview’s AI-driven data discovery, data classification and lineage tracking empower organisations to understand and control data access, which is essential for both compliance and operational security. By automatically tagging and classifying sensitive data, Purview mitigates risks associated with AI misuse and provides visibility into the data landscape used by tools like Copilot. This transparency ensures that AI-driven insights are based on secure, approved data sources.
Supporting compliance and mitigating risk in AI-enabled environments
Regulatory scrutiny is intensifying as AI adoption accelerates, making compliance and data governance critical components of any AI strategy. With ever-increasing security requirements, such as Essential 8 or CIS, AI can dramatically simplify the ongoing process of maintaining your certification. Microsoft Purview, a risk and compliance solution, offers tools that facilitate compliance with data privacy laws like GDPR, HIPAA, and CCPA, allowing organisations to produce detailed compliance reports. With such measures in place, organisations can mitigate risks associated with AI-driven data processing, positioning themselves to adopt tools like Copilot securely, knowing their data governance practices are robust and compliant with data lifecycle management principles.
Challenges with Microsoft purview adoption
Microsoft Purview offers a comprehensive data governance solution designed to protect sensitive data across an entire data estate, but organisations frequently face challenges in understanding how to best leverage its capabilities. Although data governance and data lifecycle management may seem complex, they are essential for protecting sensitive information and meeting regulatory requirements. As data security risks increase, driven in part by hackers now using AI within organisations to harvest sensitive data and exploit vulnerabilities, insider risk management becomes critical for organisations to adopt effective data protection strategies and prevent data loss. Below are some common challenges encountered by organisations attempting to implement Microsoft Purview solutions within their data landscape.
Lack of understanding of Microsoft Purview
A significant challenge for many organisations is a lack of clarity about what Microsoft Purview is and what it offers for data security and compliance. The Microsoft Purview portal and its various features are designed to help organisations manage data assets, discover sensitive information, and comply with regulatory requirements. However, without a clear understanding of how Microsoft Purview data catalogue and other tools fit into the existing data estate, data risks and compliance challenges can remain unresolved. The key to maximising Microsoft Purview’s value lies in recognising its role within a broader data management strategy.
Broad scope of Microsoft Purview
The extensive capabilities of Microsoft Purview can also present challenges. As a unified platform for data discovery, classification, and compliance manager functions, Purview spans multiple cloud environments. It also integrates with Microsoft’s other data governance solutions, making it complex to navigate and fully appreciate. Many organisations are unaware of the full scope of features of Microsoft Purview and often underutilise its capabilities for data protection, data loss prevention, and insider risk management. Implementing Purview should be aligned with the organisation’s specific data governance strategies to unlock its comprehensive data security benefits over time. Recognising Purview as a complete risk and compliance solution, rather than a single-use tool, is critical to ensuring it delivers maximum value across the entire data estate.
Where to begin with Microsoft purview
Embarking on a Microsoft Purview deployment can feel daunting. With capabilities spanning data discovery, classification, compliance, access control, and insider risk management, many organisations struggle to decide where to begin. The best starting point is often assessing current data governance needs, beginning with a pilot program, and gradually expanding Purview’s capabilities. This approach allows organisations to understand Purview’s core functions for comprehensive data security and regulatory compliance before moving toward full deployment.
For organisations implementing Microsoft Purview as the foundation of AI readiness and secure data management, here’s a step-by-step guide to get started:
1. Assess AI and data governance needs
Begin by evaluating your organisation’s data governance and AI-readiness requirements. If AI-driven tools like Microsoft Copilot are on the roadmap, it’s crucial to identify compliance, data security, and usage policies. Tailoring Microsoft Purview’s configuration to these specific data management needs will support effective data lifecycle management, reducing data risks and enhancing compliance.
2. Engage with Microsoft resources or a certified partner
Microsoft offers extensive resources for Purview, including the Microsoft Purview portal, compliance manager guides, and deployment documentation. For organisations with specific data governance solutions or complex needs, working with a Microsoft-certified partner can align Purview deployment with AI adoption and regulatory requirements, ensuring that your data estate remains compliant and secure.
3. Start with a pilot program
Implement Microsoft Purview on a small scale by selecting a pilot group with a relevant use case, such as HR or finance, which handles sensitive information. Focus on introducing Purview’s data classification, data loss prevention, and data discovery capabilities through scenarios like securing sensitive finance data or applying data loss prevention (DLP) policies to monitor the sharing of personal data. Demonstrating the effectiveness of Purview in a targeted, data-sensitive environment builds organisational buy-in and showcases the platform’s value in mitigating data security and compliance risks.
4. Configure Data Discovery, Classification, and Access Controls
Effective governance begins with configuring Purview’s automated data discovery, classification, and access control features. These capabilities empower data consumers to manage data securely and ensure compliance across the entire data estate.
However, human validation remains essential, as even the most advanced automated classification engines require oversight. Similar to migrating files to SharePoint, it’s important to assign ownership and confirm classifications in collaboration with business representatives. This process is especially critical when integrating Purview with AI tools, as it helps mitigate data risks and ensures robust data security.
5. Regularly Review and Optimise
Since data landscapes are constantly evolving, organisations must commit to periodic reviews of their data governance strategies and policies. Regularly optimising data classification and compliance policies prevents shadow IT and aligns data governance practices with evolving AI capabilities, keeping your data estate secure and compliant. To support this, Microsoft Purview offers comprehensive data security solutions for tracking data lineage, adjusting compliance policies, and monitoring data use over time.
Microsoft Purview has emerged as a critical tool for organisations seeking to establish a secure, AI-ready data foundation. By reducing data risks, enhancing data lifecycle management, and meeting regulatory requirements, Purview enables businesses to leverage AI without compromising data security or compliance. Through a step-by-step approach—starting small, understanding key Microsoft Purview features, and expanding systematically—organisations can unlock the full potential of their data assets, achieving a secure, well-governed, and AI-ready data estate.
If you would like to learn more about Microsoft Purview and what it can do for your business, feel free to book a discovery call with our team here
