Many organizations are rethinking their data security approach because of three recurring challenges: 1. Identifying sensitive data - Organizations often don’t have a clear view of what sensitive data they have or where it lives (files, emails, devices, databases, cloud storage, etc.). - Without that visibility, it’s difficult to apply the right protections or meet compliance requirements. 2. Protecting sensitive data across a fragmented toolset - Companies typically use more than ten different tools to cover their data security needs, which can be costly and hard to manage. - The threat landscape keeps evolving, and traditional, siloed tools can leave gaps that attackers exploit. 3. Managing insider risks - Insider risks—both accidental and intentional—are a growing concern. Employees, partners, or contractors with legitimate access can cause data leakage, IP theft, or security violations. - Detecting risky behavior and responding quickly requires continuous monitoring and context-aware insights. How Microsoft Purview helps Microsoft Purview is designed to bring these capabilities together in one integrated platform so you can: - Discover and classify sensitive data across your digital estate. - Apply consistent protection policies across Microsoft 365, endpoints, and cloud apps. - Detect and manage insider risks using built-in indicators and machine learning. - Use AI assistance (via Microsoft Security Copilot) to summarize incidents and speed up investigations. This integrated approach helps you move away from a patchwork of point solutions and toward a more connected, context-aware data security strategy.

Microsoft Purview combines Data Loss Prevention (DLP) and Insider Risk Management to help you reduce both accidental and intentional data exposure. Microsoft Purview Data Loss Prevention (DLP) - Purpose: Prevent unauthorized or accidental misuse of sensitive data. - Coverage: Works across Microsoft 365 apps and services, endpoints, email, and cloud applications. - Centralized policies: You can define and manage DLP policies from a single console instead of configuring multiple tools. - Cloud-first: Reduces reliance on costly on-premises DLP infrastructure. - AI assistance: Security Copilot, a generative AI assistant, provides detailed summaries of DLP alerts so your team can understand what happened and respond faster. Microsoft Purview Insider Risk Management - Purpose: Detect and address insider risks such as IP theft, data leakage, and security violations. - Indicators and ML: Uses more than 100 ready-to-use indicators plus advanced machine learning to identify risky behavior. - Risk-based approach: Assigns risk levels (for example, minor, moderate, elevated) to users based on their activity. - Security Copilot integration: Adds AI-powered incident triage and comprehensive alert summaries, helping analysts focus on the most important cases. Adaptive Protection - Context-aware controls: By combining insights from DLP and Insider Risk Management, Adaptive Protection can automatically adjust controls based on user risk. - Dynamic policies: As a user’s risk level changes, DLP policies can be dialed up or down—for example, moving from simple policy tips to blocking actions or requiring overrides. Together, these capabilities help you: - Understand how sensitive data is being used. - Detect risky behavior earlier. - Apply the right level of protection to the right users at the right time.

Many security decision makers see value in moving from multiple point tools to a more integrated data security platform. Microsoft Purview is designed to support that shift by unifying protection, governance, and risk capabilities. Key elements of the integrated platform Microsoft Purview brings together several solutions under one umbrella: - Information Protection: Helps you discover, classify, and label sensitive data across files, emails, messages, devices, and structured data sources. - Coverage includes Microsoft 365 apps and services, Microsoft SQL Server, Azure Data Lake Storage, and Microsoft Fabric. - Ready-to-use AI-powered classifiers help you quickly identify sensitive data in common business categories. - Data Loss Prevention (DLP): Applies consistent policies to prevent unauthorized use or sharing of sensitive data across cloud apps, endpoints, and email. - Insider Risk Management: Uses more than 100 indicators and machine learning to detect insider risks and assign risk levels. - Adaptive Protection: Uses insights from DLP and Insider Risk Management to automatically adjust controls based on user risk. Benefits of an integrated approach - Fewer silos: Instead of managing many separate tools, you get a unified view of data risks across your digital estate. - Context-rich insights: Data security incidents are visible in the broader context of your organization’s security posture through integration with the Microsoft Security portfolio. - Defense-in-depth: You can combine classification, prevention, monitoring, and response in a coordinated way rather than relying on isolated controls. Role of Microsoft Security Copilot (GenAI) - Built-in generative AI: Security Copilot is integrated to help security and compliance teams work at the speed and scale of AI. - Contextual summarization: Quickly summarizes complex incidents and alerts so analysts can understand what happened without sifting through raw logs. - Natural language search: Lets teams query security data in everyday language, which can shorten investigation time. - Faster triage: Helps prioritize and triage incidents more efficiently, so your team can focus on the highest-impact risks. For organizations looking to reimagine their data security strategy, Microsoft Purview offers a way to: - Consolidate tools into a more cohesive platform. - Gain better visibility and AI-driven insights. - Strengthen protection across cloud, devices, and generative AI applications. Partners can also help with assessments, licensing guidance, deployment, customization, training, and managed services to ensure the platform is aligned with your environment and business needs.