Learn how to seamlessly scale up classification, labeling and protection of your most sensitive data in a holistic end-to-end way. You’ll learn about how to best use auto-labeling, default-site labeling, and configure DLP and IRM policies to include our latest machine-learning based trainable classifiers, context-based classifiers, OCR, and more. See how our information protection platform capabilities and real-time auto-classification integration with Microsoft 365 apps and services can comprehensively protect your most sensitive data and corporate IP, that isn’t possible with other solutions.
See the Q&A: aka.ms/Accelerate/InfoProtection
--------------------------------------------------------------------------------------------------------------------------------------
▶️ Skill up at the Microsoft Secure Tech Accelerator: aka.ms/Secure/TechAccelerator...
🔖 Bookmark the Security, Compliance, and Identity Blog: aka.ms/Blog/SCI
🌐 Join the Security, Compliance, and Identity community: aka.ms/Community/SCI
--------------------------------------------------------------------------------------------------------------------------------------
Data loss prevention (DLP) helps to protect sensitive data, reduce risks, and prenvent users from inappropriately sharing it with people who shouldn't have it. DLP detects sensitive items by using deep content analysis, not by just a simple text scan. Content is analyzed for primary data matches to keywords, by the evaluation of regular expressions, by internal function validation, and by secondary data matches that are in proximity to the primary data match. Beyond that DLP also uses machine learning algorithms and other methods to detect content that matches your DLP policies. Learn more: learn.microsoft.com/microsoft...
12 июл 2024
