In a recent YouTube video, Peter Rising [MVP] explores a lesser-known capability within Microsoft Purview: the On-Demand Classification feature. This function, currently in preview as of July 2025, represents an important step forward for organizations seeking stronger data management and protection. While Microsoft Purview has long offered robust tools for classifying and safeguarding information, this new feature specifically targets data that may have previously gone unnoticed or unprotected.
Peter Rising carefully unpacks how On-Demand Classification can be leveraged to identify sensitive content in older, inactive files stored across platforms like SharePoint and OneDrive. By doing so, he highlights both the evolving landscape of data governance and the increasing demands on organizations to secure their digital assets. The video offers valuable insight for IT professionals, data managers, and anyone interested in strengthening their organization’s information security posture.
Traditional classification methods within Microsoft Purview rely on continuous, real-time monitoring. These tools automatically update labels and protections whenever files are created, accessed, or modified. However, as Peter Rising explains, many organizations accumulate vast amounts of “cold” data—files that remain untouched for months or even years. Such files are at risk of being overlooked by automated, activity-based systems.
On-Demand Classification addresses this gap by allowing administrators to initiate targeted scans of stored data on their own schedule. This process can uncover and classify sensitive information that may have never been reviewed or labeled before. As a result, organizations can ensure that even dormant data receives the same level of scrutiny and protection as actively used files. This dual approach—combining both continuous and on-demand methods—offers a more comprehensive security strategy.
With the rapid growth of digital information and the integration of AI-driven tools such as Microsoft Copilot, the risk of accidentally exposing sensitive data is on the rise. Peter Rising points out that historical or inactive files, if left unclassified, can become significant liabilities. AI systems may inadvertently surface this unprotected data during everyday operations, increasing the chances of data loss or compliance violations.
On-Demand Classification helps mitigate this risk by extending data protection to files that would otherwise remain unchecked. By leveraging this feature, organizations can reduce their reliance on manual intervention or risky data exports to external tools. Instead, sensitive information is discovered, classified, and secured directly within the Microsoft Purview environment, strengthening overall data governance.
Rather than replacing continuous classification, On-Demand Classification works alongside it to provide full-spectrum coverage. Continuous classification excels at keeping up with new and frequently accessed files, while on-demand scanning targets the backlog of historical data. This complementary relationship ensures that all organizational content—whether active or dormant—aligns with current security policies and regulatory requirements.
Peter Rising notes that this synergy allows IT teams to maintain a proactive stance on data protection. By scheduling regular on-demand scans, administrators can catch up on past oversights and prevent sensitive data from slipping through the cracks. This balanced approach acknowledges the tradeoffs between automation and targeted review, helping organizations manage resources effectively while minimizing exposure.
Beyond On-Demand Classification, Microsoft Purview continues to evolve with advanced analytics and governance features. Peter Rising briefly mentions recent enhancements such as Critical Data Elements (CDE) and Objectives and Key Results (OKR) integration. These additions support better decision-making by providing richer metadata and deeper insights into organizational data.
Other updates, including customizable data health controls and improved integration with Azure Databricks, further demonstrate Purview’s commitment to scalable and reliable data management. These improvements are designed to help enterprises maintain high standards for data quality and compliance, even as the volume and complexity of information grow.
In summary, the introduction of On-Demand Classification within Microsoft Purview marks a significant advancement for organizations facing the challenges of data sprawl and evolving security threats. By enabling targeted, administrator-led scans of inactive files, this feature closes critical gaps in traditional classification strategies. It empowers companies to bring all data, regardless of age or activity, under the umbrella of modern protection policies.
Peter Rising’s video underscores the importance of staying ahead in the ever-changing world of information management. As Microsoft Purview continues to expand its toolbox, features like On-Demand Classification will be essential for organizations aiming to safeguard their most valuable digital assets in a rapidly shifting landscape.
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