Power BI Sensitivity Labels and Information Protection: Enterprise Guide for 2026

<h2>Why Sensitivity Labels Are Critical for Power BI</h2>

<p>Power BI reports and semantic models often contain the most sensitive data in an organization: financial results before public disclosure, patient health information, employee compensation, customer PII, and strategic planning metrics. Without classification and protection, this data flows freely through exports, email shares, embedded links, and downloaded PBIX files, creating compliance exposure that regulators, auditors, and data protection officers cannot accept. Microsoft Information Protection (MIP) sensitivity labels solve this problem by embedding persistent classification and protection directly into Power BI artifacts, ensuring that data classification and access policies follow the data wherever it goes.</p>

<p>Sensitivity labels in Power BI are not a standalone feature. They are an extension of the same Microsoft Information Protection framework used across Microsoft 365 (Word, Excel, PowerPoint, Outlook, Teams, SharePoint). When you apply a "Confidential" label to a Power BI semantic model, that classification propagates to Excel and PowerPoint exports, maintaining consistent protection across the entire data lifecycle. Our <a href="/services/power-bi-consulting">Power BI consulting</a> team implements sensitivity labels for enterprise organizations across <a href="/industries/healthcare-consulting">healthcare</a>, <a href="/industries/financial-services-consulting">financial services</a>, and <a href="/industries/government-consulting">government</a> sectors where data classification is not optional—it is a regulatory mandate.</p>

<h2>Understanding the Sensitivity Label Architecture</h2>

<p>Sensitivity labels in Power BI operate within a layered architecture that spans Microsoft Purview, the Power BI service, Power BI Desktop, and downstream Office applications.</p>

<h3>Microsoft Purview Compliance Portal</h3>

<p>All sensitivity labels are created and managed centrally in the <strong>Microsoft Purview compliance portal</strong> (formerly Microsoft 365 Compliance Center). This is where you define label names, descriptions, scope, encryption settings, content marking, and auto-labeling rules. Labels created in Purview are published to users and groups through label policies, which also control mandatory labeling and default label settings.</p>

<p>The key Purview components for Power BI sensitivity labels include:</p>

<ul> <li><strong>Label definitions</strong>: The label taxonomy (e.g., Public, Internal, Confidential, Highly Confidential) with sub-labels for granularity (e.g., Confidential - Finance, Confidential - HR).</li> <li><strong>Label policies</strong>: Publish labels to specific users or groups, set default labels, require justification for label downgrades, and enforce mandatory labeling.</li> <li><strong>Auto-labeling policies</strong>: Automatically apply labels based on content inspection (e.g., detect credit card numbers, Social Security numbers, or medical record identifiers in Power BI content).</li> <li><strong>DLP policies</strong>: Data Loss Prevention rules that trigger actions (block sharing, require encryption, send alerts) based on sensitivity label classification.</li> </ul>

<h3>Power BI Service Integration</h3>

<p>Once labels are published in Purview, they appear in the Power BI service on supported artifact types: semantic models (datasets), reports, dashboards, dataflows, and paginated reports. Users with appropriate permissions can apply labels manually, or labels can be applied automatically through inheritance and auto-labeling policies.</p>

<h3>Power BI Desktop Integration</h3>

<p>Power BI Desktop supports sensitivity labels starting with the December 2022 release. Desktop users can apply labels to PBIX files during development, and when the report is published to the Power BI service, the label travels with it. This ensures that classification happens at the earliest point in the content lifecycle—during development—rather than relying on post-publication labeling.</p>

<h2>Configuring Sensitivity Labels for Power BI</h2>

<h3>Prerequisites</h3>

<p>Before implementing sensitivity labels in Power BI, ensure the following prerequisites are met:</p>

<ol> <li><strong>Licensing</strong>: Microsoft 365 E5, E5 Compliance, E5 Information Protection and Governance, or equivalent add-on licenses. Power BI Pro or Premium Per User (PPU) licenses for content creators. Azure Information Protection Plan 1 or Plan 2 for encryption features.</li> <li><strong>Tenant settings</strong>: In the Power BI Admin portal, enable "Allow users to apply sensitivity labels for content" under Information Protection settings. Enable "Apply sensitivity labels from data sources to their data in Power BI" for automatic upstream inheritance.</li> <li><strong>Azure Active Directory</strong>: Users applying labels must have MIP usage rights. Configure in Microsoft Purview by publishing label policies to the appropriate Azure AD security groups.</li> <li><strong>Microsoft Purview Information Protection</strong>: Label taxonomy must be defined and published before Power BI integration works. If your organization has not yet deployed MIP across Microsoft 365, this is a prerequisite project.</li> </ol>

<h3>Defining the Label Taxonomy</h3>

<p>The label taxonomy should align with your organization's data classification policy. A common enterprise taxonomy includes four to five tiers:</p>

<table> <thead> <tr><th>Label</th><th>Description</th><th>Power BI Use Case</th><th>Protection</th></tr> </thead> <tbody> <tr><td>Public</td><td>Information approved for external sharing</td><td>Published marketing dashboards, public data reports</td><td>No encryption, visual marking optional</td></tr> <tr><td>General / Internal</td><td>Internal business information not intended for external audiences</td><td>Department operational dashboards, general KPIs</td><td>No encryption, "Internal Use Only" watermark on exports</td></tr> <tr><td>Confidential</td><td>Sensitive business information requiring access control</td><td>Financial reports, HR analytics, customer data dashboards</td><td>Encryption enforced, export restrictions, watermarking</td></tr> <tr><td>Highly Confidential</td><td>Most sensitive data with strict access control</td><td>M&amp;A analysis, executive compensation, PHI dashboards, PCI data</td><td>Encryption enforced, no external sharing, restricted export, audit logging</td></tr> </tbody> </table>

<p>For regulated industries, add sub-labels to address specific compliance requirements:</p>

<ul> <li><strong>Confidential - HIPAA</strong>: For <a href="/industries/healthcare-consulting">healthcare organizations</a> handling Protected Health Information (PHI). Encryption required, export restricted to approved formats, audit trail mandatory.</li> <li><strong>Confidential - PCI</strong>: For <a href="/industries/financial-services-consulting">financial services</a> organizations handling payment card data. Restricts access to PCI-authorized personnel only.</li> <li><strong>Highly Confidential - SOC 2</strong>: For data subject to SOC 2 Type II controls. Requires encryption at rest and in transit, restricted sharing, and comprehensive audit logging.</li> <li><strong>Highly Confidential - GDPR</strong>: For EU personal data subject to GDPR. Requires data residency controls, consent tracking, and right-to-erasure compliance.</li> </ul>

<h3>Mandatory Labeling</h3>

<p>Mandatory labeling ensures that every Power BI artifact has a sensitivity label applied before it can be saved or published. Without mandatory labeling, users can create and share reports without any classification, creating gaps in your data protection posture.</p>

<p>Configure mandatory labeling in Microsoft Purview label policies:</p>

<ol> <li>Navigate to Microsoft Purview compliance portal &gt; Information Protection &gt; Label policies.</li> <li>Create or edit a label policy targeted at Power BI content creators.</li> <li>Enable "Require users to apply a label to their Power BI content" in the policy settings.</li> <li>Set the scope to all Power BI artifact types (reports, semantic models, dashboards, dataflows).</li> </ol>

<p>When mandatory labeling is enabled, users cannot save a new report, semantic model, or dashboard in the Power BI service without selecting a sensitivity label. In Power BI Desktop, users are prompted to apply a label when saving or publishing. This eliminates the risk of unclassified content circulating in your Power BI tenant.</p>

<h3>Default Labels</h3>

<p>Default labels automatically apply a specified sensitivity label to new Power BI content, reducing friction for users while ensuring baseline classification. Configure default labels in the same label policy where you enable mandatory labeling:</p>

<ul> <li><strong>Recommended default</strong>: Set "General" or "Internal" as the default label for most users. This ensures all new content is classified at minimum as internal without requiring users to make an explicit selection.</li> <li><strong>Department-specific defaults</strong>: Use targeted label policies to set different defaults for different groups. The Finance team's policy can default to "Confidential - Finance" while the Marketing team defaults to "Internal."</li> <li><strong>Interaction with mandatory labeling</strong>: When both mandatory labeling and default labels are enabled, new content is automatically labeled with the default, and users can upgrade or downgrade the label (with justification for downgrades). This provides the best balance of security and usability.</li> </ul>

<h2>Downstream Inheritance and Label Propagation</h2>

<h3>How Downstream Inheritance Works</h3>

<p>One of the most powerful features of sensitivity labels in Power BI is <strong>downstream inheritance</strong>: when a sensitivity label is applied to a semantic model, that label automatically propagates to all reports, dashboards, and exports built on that semantic model. This creates a cascading classification model where labeling a single upstream asset protects all downstream content.</p>

<p>The inheritance chain works as follows:</p>

<ol> <li><strong>Data source to semantic model</strong>: If the data source (Azure SQL Database, Synapse, etc.) has a sensitivity label, Power BI can inherit that label when creating the semantic model. Enable "Apply sensitivity labels from data sources" in tenant settings.</li> <li><strong>Semantic model to report</strong>: When a report is created from a labeled semantic model, the report inherits the model's label. If the model is labeled "Confidential," the report is automatically labeled "Confidential."</li> <li><strong>Report to dashboard</strong>: Dashboard tiles pinned from labeled reports inherit the highest sensitivity label among all source reports. If one tile comes from a "Confidential" report and another from a "Highly Confidential" report, the dashboard receives the "Highly Confidential" label.</li> <li><strong>Power BI to Excel/PowerPoint</strong>: When users export Power BI data to Excel (Analyze in Excel or Export to Excel) or export reports to PowerPoint, the sensitivity label propagates to the exported file. The Excel workbook or PowerPoint presentation receives the same label, and if encryption is configured for that label, the exported file is encrypted with the same protection policy.</li> </ol>

<h3>Label Propagation to Office Applications</h3>

<p>The propagation to Excel and PowerPoint is a critical compliance control. Without it, a user could view a "Highly Confidential" Power BI report, export the data to Excel, and the resulting spreadsheet would have no protection—free to be emailed, copied to a USB drive, or uploaded to a personal cloud storage account. With label propagation enabled:</p>

<ul> <li><strong>Excel exports</strong> from "Analyze in Excel" and "Export to .xlsx" inherit the Power BI label. The Excel file opens with the sensitivity label applied, and if the label includes encryption, the file is encrypted and can only be opened by authorized users.</li> <li><strong>PowerPoint exports</strong> from "Export to PowerPoint" inherit the label. The presentation is protected, preventing unauthorized distribution of embedded Power BI visuals and data.</li> <li><strong>PDF exports</strong> include watermarks and visual markings configured for the sensitivity label (e.g., "CONFIDENTIAL" watermark on every page), though PDF does not support MIP encryption natively.</li> </ul>

<h3>Handling Label Conflicts</h3>

<p>When downstream inheritance encounters a conflict (e.g., a report already has a "Confidential" label but the underlying semantic model is changed to "Highly Confidential"), Power BI applies the <strong>maximum sensitivity principle</strong>: the more restrictive label wins. A label can be automatically upgraded but never automatically downgraded. Downgrades require explicit user action with justification (if justification is enabled in the label policy).</p>

<h2>DLP Policies for Power BI</h2>

<p>Data Loss Prevention (DLP) policies extend sensitivity labels from passive classification to active enforcement. While labels classify content, DLP policies take action when classified content is at risk of unauthorized exposure.</p>

<h3>Configuring DLP Policies</h3>

<p>Create DLP policies for Power BI in the Microsoft Purview compliance portal:</p>

<ol> <li>Navigate to Data loss prevention &gt; Policies &gt; Create policy.</li> <li>Select "Power BI" as the location (alongside Exchange, SharePoint, OneDrive, Teams, and Devices).</li> <li>Define conditions based on sensitivity labels: "Content contains sensitivity label: Highly Confidential."</li> <li>Configure actions: <ul> <li><strong>Restrict access</strong>: Block external sharing of Power BI content labeled "Highly Confidential."</li> <li><strong>Send alerts</strong>: Notify the data protection team when labeled content is shared outside the organization.</li> <li><strong>User notifications</strong>: Display a policy tip to the user explaining why their sharing action was blocked and what alternatives are available.</li> <li><strong>Audit logging</strong>: Record all DLP policy matches for compliance reporting and incident investigation.</li> </ul></li> </ol>

<h3>DLP Policy Examples for Power BI</h3>

<ul> <li><strong>Block external sharing of PHI dashboards</strong>: If a Power BI report has the "Confidential - HIPAA" label, block all sharing with external (guest) users and display a policy tip: "This report contains Protected Health Information and cannot be shared externally per HIPAA policy."</li> <li><strong>Require encryption for financial exports</strong>: If a user exports data from a report labeled "Confidential - Finance," require the export to inherit the sensitivity label with encryption. Block unprotected exports.</li> <li><strong>Alert on broad sharing of executive data</strong>: If a dashboard labeled "Highly Confidential" is shared with more than 10 users or an entire security group exceeding 50 members, send an alert to the data governance team for review.</li> <li><strong>Restrict downloads from mobile devices</strong>: If a user accesses a "Highly Confidential" report from an unmanaged mobile device, block the download and export functionality while allowing read-only viewing through the Power BI mobile app.</li> </ul>

<h2>Microsoft Defender for Cloud Apps Integration</h2>

<p>Microsoft Defender for Cloud Apps (formerly Microsoft Cloud App Security) provides session-level controls and real-time monitoring for Power BI, extending protection beyond what DLP policies alone can achieve.</p>

<h3>Session Controls</h3>

<p>When Defender for Cloud Apps is integrated with Power BI, administrators can enforce session-level policies:</p>

<ul> <li><strong>Block downloads in real time</strong>: Prevent users from downloading reports or exporting data during a session if certain conditions are met (unmanaged device, risky sign-in, external network).</li> <li><strong>Protect on download</strong>: Automatically apply sensitivity labels to files downloaded during a session, ensuring that exports are protected even if the source report does not have a label.</li> <li><strong>Monitor activities</strong>: Track all user activities in Power BI sessions, including report views, data exports, sharing actions, and workspace modifications. This activity data feeds into the Defender for Cloud Apps investigation timeline.</li> <li><strong>Anomaly detection</strong>: Detect unusual patterns such as a single user exporting large volumes of data, accessing sensitive reports at unusual hours, or downloading data from a new geographic location.</li> </ul>

<h3>Integration with Conditional Access</h3>

<p>Defender for Cloud Apps works with Azure AD Conditional Access to create context-aware protection policies:</p>

<ol> <li>Create a Conditional Access policy in Azure AD that routes Power BI sessions through Defender for Cloud Apps (Conditional Access App Control).</li> <li>In Defender for Cloud Apps, create a session policy scoped to Power BI.</li> <li>Define conditions: device type (managed vs. unmanaged), user risk level, sign-in risk level, location, sensitivity label of the content being accessed.</li> <li>Define actions: allow with monitoring, block downloads, apply encryption on download, block session entirely.</li> </ol>

<p>For example, a <a href="/industries/healthcare-consulting">healthcare organization</a> can allow clinicians on managed hospital devices to access PHI dashboards with full functionality, while restricting personal device access to read-only viewing with no export capability.</p>

<h2>Monitoring Label Usage and Compliance</h2>

<h3>Power BI Activity Log</h3>

<p>The Power BI activity log records all sensitivity label events, including label application, label changes, label removals, and label inheritance. Export the activity log through the Power BI REST API or Microsoft 365 unified audit log to build compliance dashboards.</p>

<p>Key label-related events in the activity log:</p>

<ul> <li><strong>SensitivityLabelApplied</strong>: A user manually applied a sensitivity label to a Power BI artifact.</li> <li><strong>SensitivityLabelChanged</strong>: A user changed the sensitivity label (upgraded or downgraded).</li> <li><strong>SensitivityLabelRemoved</strong>: A user removed a sensitivity label from an artifact.</li> <li><strong>SensitivityLabeledFileDownloaded</strong>: A user downloaded or exported a file that has a sensitivity label applied.</li> </ul>

<h3>Microsoft Purview Data Loss Prevention Reports</h3>

<p>DLP policy match reports in Microsoft Purview show every instance where a DLP policy was triggered by Power BI content. These reports include the artifact name, sensitivity label, user, action taken (blocked, allowed with override, audit only), and timestamp. Use these reports for quarterly compliance reviews, audit preparation, and incident investigation.</p>

<h3>Building a Sensitivity Label Compliance Dashboard</h3>

<p>Create a Power BI dashboard that monitors sensitivity label compliance across your tenant:</p>

<ul> <li><strong>Label coverage</strong>: Percentage of Power BI artifacts with a sensitivity label applied. Target: 100% with mandatory labeling enabled.</li> <li><strong>Label distribution</strong>: Breakdown of artifacts by sensitivity level (Public, Internal, Confidential, Highly Confidential). Investigate unexpected patterns—if 90% of content is labeled "Public," either the classification is wrong or training is needed.</li> <li><strong>Unlabeled content</strong>: List of artifacts without labels (should be zero with mandatory labeling). Identify content created before mandatory labeling was enabled.</li> <li><strong>Label changes</strong>: Track label downgrades (Confidential to Internal) with justification text. Frequent downgrades indicate either over-classification or users circumventing protection.</li> <li><strong>DLP policy matches</strong>: Count and trend of DLP policy triggers, filtered by severity and action type.</li> <li><strong>Export tracking</strong>: Volume and frequency of exports from labeled content, broken down by export format and destination.</li> </ul>

<h2>Compliance Requirements: HIPAA, SOC 2, and GDPR</h2>

<h3>HIPAA Compliance</h3>

<p>For <a href="/industries/healthcare-consulting">healthcare organizations</a> subject to HIPAA, sensitivity labels address several key requirements:</p>

<ul> <li><strong>Access controls (164.312(a)(1))</strong>: Sensitivity labels with encryption enforce access controls at the content level, ensuring that only authorized individuals can view or export PHI dashboards.</li> <li><strong>Audit controls (164.312(b))</strong>: Label-related events in the activity log provide the audit trail required for PHI access monitoring. Export these logs to your SIEM for centralized compliance monitoring.</li> <li><strong>Transmission security (164.312(e)(1))</strong>: Labels with encryption protect PHI during transmission through exports and sharing, supplementing TLS encryption with content-level protection that persists after the file leaves Power BI.</li> <li><strong>Integrity controls (164.312(c)(1))</strong>: DLP policies prevent unauthorized modification or distribution of PHI-containing Power BI content.</li> </ul>

<h3>SOC 2 Compliance</h3>

<p>SOC 2 Type II audits evaluate controls across five Trust Services Criteria. Sensitivity labels contribute to several criteria:</p>

<ul> <li><strong>CC6.1 (Logical access)</strong>: Labels enforce logical access controls on classified content, preventing unauthorized access through encryption and sharing restrictions.</li> <li><strong>CC6.6 (Confidential information)</strong>: Labels classify and protect confidential information, demonstrating that the organization identifies and controls sensitive data.</li> <li><strong>CC7.2 (Monitoring)</strong>: Activity log monitoring of label events demonstrates continuous monitoring of data access and protection status.</li> <li><strong>CC8.1 (Change management)</strong>: Label change tracking (with justification) provides evidence that data classification changes are controlled and audited.</li> </ul>

<h3>GDPR Compliance</h3>

<p>For organizations processing EU personal data, sensitivity labels support GDPR requirements:</p>

<ul> <li><strong>Article 25 (Data protection by design)</strong>: Embedding sensitivity labels into the Power BI development workflow ensures that data protection is considered during report design, not as an afterthought.</li> <li><strong>Article 30 (Records of processing)</strong>: Label classification metadata contributes to the records of processing activities by documenting what categories of data are processed in each Power BI report.</li> <li><strong>Article 32 (Security of processing)</strong>: Encryption enforced through labels provides "appropriate technical measures" to protect personal data, as required by Article 32.</li> <li><strong>Article 33/34 (Breach notification)</strong>: DLP alerts and Defender for Cloud Apps anomaly detection support breach detection timelines required by GDPR (72-hour notification to supervisory authorities).</li> </ul>

<h2>Enterprise Implementation Strategy</h2>

<h3>Phase 1: Foundation (Weeks 1-2)</h3>

<ol> <li>Define the sensitivity label taxonomy aligned with your data classification policy.</li> <li>Create labels in Microsoft Purview with appropriate protection settings.</li> <li>Publish labels to a pilot group (Power BI administrators and data governance team).</li> <li>Enable sensitivity label tenant settings in the Power BI Admin portal.</li> <li>Test label application, inheritance, and export propagation with the pilot group.</li> </ol>

<h3>Phase 2: Controlled Rollout (Weeks 3-4)</h3>

<ol> <li>Expand label publishing to all Power BI content creators.</li> <li>Enable default labels (set to "Internal" or "General").</li> <li>Deploy training materials explaining the label taxonomy and how to apply labels.</li> <li>Monitor label adoption through the activity log. Track the percentage of new content that is labeled.</li> <li>Address user feedback and adjust label descriptions for clarity.</li> </ol>

<h3>Phase 3: Enforcement (Weeks 5-6)</h3>

<ol> <li>Enable mandatory labeling for all Power BI content creators.</li> <li>Configure DLP policies for the highest-sensitivity labels (Highly Confidential, HIPAA, PCI).</li> <li>Integrate Defender for Cloud Apps for session-level controls.</li> <li>Conduct a retroactive labeling exercise for existing content (use the Scanner API to identify unlabeled content and assign labels based on workspace, data source, and content analysis).</li> </ol>

<h3>Phase 4: Optimization (Weeks 7-8)</h3>

<ol> <li>Configure auto-labeling policies for content that matches sensitive information types (credit card numbers, SSNs, medical record numbers).</li> <li>Build the sensitivity label compliance dashboard in Power BI.</li> <li>Establish quarterly review cadence for label policy effectiveness.</li> <li>Document the end-to-end implementation for SOC 2, HIPAA, or GDPR audit evidence.</li> </ol>

<h2>Common Implementation Challenges</h2>

<h3>User Resistance</h3>

<p>Users may perceive labeling as an additional burden. Mitigate this by setting sensible default labels (so most content is automatically classified), providing clear and concise label descriptions (users should not need to guess which label applies), and enabling mandatory labeling only after training is complete.</p>

<h3>Label Sprawl</h3>

<p>Avoid creating too many labels or sub-labels. A taxonomy with more than 8-10 labels creates decision fatigue for users. Most enterprises operate effectively with 4-5 top-level labels and 2-3 sub-labels for regulated data types (HIPAA, PCI, GDPR).</p>

<h3>Legacy Content</h3>

<p>Content created before sensitivity labels were enabled will be unlabeled. Use the Power BI Scanner API to inventory all existing content, then use the Power BI REST API to programmatically apply labels based on workspace classification, data source sensitivity, and content naming patterns. This retroactive labeling project typically takes 1-2 weeks for a large tenant.</p>

<h3>Cross-Tenant Scenarios</h3>

<p>Organizations that share Power BI content across Azure AD tenants (B2B guest users) need to coordinate label policies. Guest users from external organizations may not have MIP licenses or may have different label taxonomies. Configure label policies to handle cross-tenant access explicitly—either block sharing of encrypted content with external users or use Azure B2B Collaboration settings to grant external users MIP usage rights.</p>

<h2>Best Practices Summary</h2>

<ol> <li><strong>Start with the label taxonomy</strong>: Define labels based on your data classification policy, not Power BI-specific categories. Labels should be consistent across Microsoft 365.</li> <li><strong>Use default labels</strong>: Set a sensible default (Internal/General) to ensure baseline classification without user friction.</li> <li><strong>Enable mandatory labeling</strong>: After training is complete, require labels on all new Power BI content. No exceptions.</li> <li><strong>Leverage downstream inheritance</strong>: Label semantic models first. Reports, dashboards, and exports inherit the label automatically, reducing manual labeling effort by 70-80%.</li> <li><strong>Configure DLP for high-sensitivity labels</strong>: At minimum, block external sharing and restrict exports for your top-tier labels (Highly Confidential, HIPAA, PCI).</li> <li><strong>Monitor continuously</strong>: Build a compliance dashboard tracking label coverage, distribution, changes, and DLP policy matches. Review monthly.</li> <li><strong>Integrate Defender for Cloud Apps</strong>: Session controls provide the real-time enforcement that DLP policies alone cannot achieve, especially for unmanaged devices and risky sign-ins.</li> <li><strong>Retroactively label existing content</strong>: Use the Scanner API and REST API to classify legacy content programmatically. Do not rely on users to manually label hundreds of existing reports.</li> <li><strong>Plan for compliance audits</strong>: Document every configuration decision, maintain activity log exports, and prepare compliance evidence before the audit—not during it.</li> <li><strong>Align with enterprise information protection</strong>: Power BI sensitivity labels should be one component of a unified MIP deployment across Microsoft 365, not a siloed initiative.</li> </ol>

<p><a href="/contact">Contact EPC Group</a> to implement sensitivity labels and information protection for your Power BI environment. Our <a href="/services/power-bi-consulting">Power BI consulting</a> and <a href="/services/power-bi-architecture">Power BI architecture</a> teams design, deploy, and govern enterprise-grade information protection strategies across <a href="/industries/healthcare-consulting">healthcare</a>, <a href="/industries/financial-services-consulting">financial services</a>, and <a href="/industries/government-consulting">government</a> organizations where compliance is non-negotiable and data protection must be embedded into every layer of the analytics platform.</p>