What is security-first governance for enterprise analytics?

Security-first governance is an architectural approach where security controls, data classification, access policies, and compliance requirements are designed and implemented BEFORE the first dashboard or report goes live, rather than retrofitted after deployment. This means defining sensitivity labels, row-level security roles, conditional access policies, DLP rules, export restrictions, and audit monitoring as foundational infrastructure, not afterthoughts. EPC Group pioneered this approach across 200+ enterprise implementations after observing that organizations who bolt security onto existing analytics platforms spend 3-5x more on remediation than those who build security into the architecture from day one. The framework covers five layers: Identity (who can access what), Classification (what sensitivity level does each dataset carry), Protection (what controls prevent data leakage), Monitoring (what audit trails detect anomalies), and Compliance (how controls map to regulatory requirements like HIPAA, SOC 2, and FedRAMP).

How does security-first governance differ from traditional analytics security?

Traditional analytics security is reactive: deploy Power BI, let users build reports, then discover six months later that PII is in 200 unmanaged reports with no row-level security, export controls are wide open, and guest users have access to financial data. Security-first governance is proactive: before the first workspace is created, you define sensitivity labels in Microsoft Purview, configure conditional access policies in Entra ID, establish RLS patterns in your data model templates, restrict export and sharing through tenant settings, and deploy audit log collection to a SIEM. The practical difference is massive. Reactive security requires auditing every existing report (which can number in the thousands), identifying and remediating every overpermissioned workspace, retroactively applying sensitivity labels to datasets that may contain unknown PII, and explaining to auditors why controls were missing for months. Proactive security means every report inherits controls from the platform configuration, every dataset is classified at creation, and every access event is logged from day one. EPC Group clients who adopt security-first governance achieve audit readiness 60% faster than those who retrofit security.

What Microsoft tools are required for security-first governance in analytics?

The security-first governance stack uses Microsoft Entra ID (formerly Azure AD) for identity and conditional access policies, Privileged Identity Management (PIM) for just-in-time admin access, Microsoft Purview for sensitivity labels, data classification, and Data Loss Prevention (DLP) policies, Power BI Admin Portal for tenant settings including export restrictions, sharing controls, and custom visual policies, Microsoft Defender for Cloud Apps for session-level controls and anomaly detection, Azure Monitor and Log Analytics for centralized audit log collection and alerting, and Microsoft Sentinel for SIEM integration and advanced threat detection. Licensing requirements include Microsoft 365 E5 or E5 Compliance for the full Purview and DLP capabilities, Entra ID P2 for PIM and conditional access, and Power BI Premium or Fabric capacity for deployment pipelines and enhanced admin APIs. EPC Group helps organizations right-size their licensing based on actual governance requirements rather than purchasing the most expensive tier blindly.

How do you implement data classification for analytics datasets?

Data classification in analytics uses Microsoft Purview sensitivity labels applied at the dataset, report, and dashboard level in Power BI. EPC Group implements a four-tier classification scheme: Public (no restrictions, can be shared externally), Internal (organization-wide access, no external sharing), Confidential (restricted to specific security groups, export controls enforced, encryption required), and Highly Confidential (PII, PHI, or financial data requiring MFA, managed device, DLP monitoring, and no export capability). Automatic classification uses Purview trainable classifiers and sensitive information types to detect PII patterns (SSNs, medical record numbers, credit card numbers) in Power BI datasets and automatically apply the appropriate sensitivity label. Manual classification requires dataset owners to select a sensitivity label before publishing to a production workspace. Labels are inherited: when a report connects to a Confidential dataset, the report automatically inherits the Confidential label and all associated protection policies. This prevents the common gap where a sensitive dataset is protected but reports built on it are not.

What are the most common security mistakes in Power BI deployments?

The five most common security mistakes EPC Group discovers during governance assessments are: (1) Publish to Web enabled, which creates publicly accessible reports with zero authentication, effectively publishing internal data to the internet. (2) Export to Excel unrestricted, allowing any user to download entire datasets including PII to unmanaged spreadsheets on personal devices. (3) No row-level security on datasets containing sensitive data, meaning any user with report access sees all rows including data outside their authorization scope. (4) Guest user access without conditional access policies, allowing external users to access analytics from unmanaged devices without MFA. (5) No audit log collection, meaning the organization has no record of who accessed what data, when, or from where, which is a critical compliance failure for HIPAA, SOC 2, and FedRAMP. Each of these is a configuration setting that takes minutes to fix but can take months to remediate if exploited. Security-first governance eliminates all five before any user touches the platform.

How does security-first governance support HIPAA compliance for healthcare analytics?

HIPAA requires safeguards for Protected Health Information (PHI) across three categories: administrative, physical, and technical. Security-first governance addresses the technical safeguards directly. Access controls use Entra ID conditional access to require MFA and managed devices for any analytics access involving PHI. Audit controls use Power BI audit logs forwarded to Azure Monitor with 7-year retention to satisfy HIPAA audit trail requirements. Integrity controls use sensitivity labels with encryption to prevent unauthorized modification of PHI datasets. Transmission security uses TLS 1.2+ encryption for all Power BI data in transit. Person or entity authentication uses row-level security to ensure clinicians see only their assigned patient panels. EPC Group creates a HIPAA compliance crosswalk document that maps every HIPAA technical safeguard to the specific Power BI, Purview, and Entra ID control that satisfies it, providing audit-ready documentation for OCR investigations. Healthcare organizations that implement this framework pass HIPAA audits on the first attempt rather than receiving corrective action plans.

How long does it take to implement security-first governance for enterprise analytics?

EPC Group implements security-first governance in a phased approach over 8-12 weeks for most enterprise organizations. Phase 1 (weeks 1-2) covers identity and access: Entra ID conditional access policies, PIM configuration, guest user policies, and MFA enforcement. Phase 2 (weeks 3-4) covers classification and labeling: Purview sensitivity labels, automatic classification rules, label policies, and dataset owner training. Phase 3 (weeks 5-6) covers protection: DLP policies, export restrictions, RLS implementation patterns, tenant settings hardening, and custom visual restrictions. Phase 4 (weeks 7-8) covers monitoring: audit log collection, Azure Monitor workspace configuration, alert rules, anomaly detection baselines, and compliance dashboard creation. Phase 5 (weeks 9-12) covers compliance mapping: framework crosswalk documentation (HIPAA, SOC 2, FedRAMP as applicable), audit evidence automation, exception request workflows, and governance review board establishment. Organizations with existing Microsoft 365 E5 licensing complete faster because the underlying Purview and Entra ID infrastructure is already provisioned. Organizations requiring new licensing or significant Entra ID configuration may need 12-16 weeks.

Security-First Governance Architecture for Analytics

Security-First Governance Architecture for Microsoft Analytics

Security-first governance consists of several important elements. These include:

Identity controls
Data classification
Protection policies
Monitoring infrastructure
Compliance mapping

All of these should be in place before launching the first analytics dashboard.

EPC Group has successfully implemented this approach in over 200 enterprise analytics projects. Our experience spans across healthcare, finance, and government sectors.

Organizations that add security to existing platforms typically spend 3–5 times more on fixing issues than those that integrate it from the beginning.

Last updated: 2026. Read time: 15 min.

Key facts

IBM's 2024 Cost of a Data Breach Report: global average breach cost is $4.88 million; healthcare average is $10.93 million — the highest of any industry for 14 consecutive years.
EPC Group has delivered Security-First Governance Architecture for 200+ enterprise analytics organizations.
A 12,000-user healthcare system spent $420,000 and 6 months remediating 800 unlabeled Power BI reports. Early classification would have cost a fraction of that.
Analytics platforms are high-risk targets because they concentrate sensitive data from multiple source systems into a single access point.
The five most common Power BI security mistakes all involve misconfiguration, not sophisticated attacks.

The pattern that causes analytics breaches

Many organizations create analytics platforms initially and add security measures afterward. By this time, personally identifiable information (PII) is often found in numerous unmanaged Power BI reports.

Workspaces may have excessive permissions.
Export policies can allow anyone to download patient data to a USB drive.

In the last 24 months, EPC Group has addressed analytics security issues for several organizations. These include:

Healthcare systems with 5,000 users
Financial services firms with 50,000 users

The same pattern occurs each time:

The BI team quickly deployed Power BI.
Security was addressed later.
By the time someone asked, "Is this compliant?" it was not.

The five most common Power BI security mistakes

Publish to Web enabled — Creates publicly accessible reports with zero authentication. This effectively publishes internal data to the internet.
Export to Excel unrestricted — Lets any user download entire datasets including PII to unmanaged spreadsheets on personal devices.
No row-level security on sensitive datasets — Any user with report access sees all rows, including data outside their authorization scope.
Guest user access without Conditional Access policies — External users can access analytics from unmanaged devices without MFA.
No audit log collection — The organization has no record of who accessed what data, when, or from where. This is a critical compliance failure for HIPAA, SOC 2, and FedRAMP.

Security-First Governance Architecture: five layers

EPC Group's architecture consists of five layers. Each layer builds upon the one below it. You must first establish the following before implementing effective data protection (Layer 3):

Identity controls (Layer 1)
Data classification (Layer 2)

Layer 1: Identity controls

Identity is the foundation of every security architecture. If you cannot control who accesses your analytics platform, nothing else matters.

A Fortune 500 financial services firm shared a Power BI workspace with an external auditor through a guest account. This guest account did not have a Conditional Access policy that required Multi-Factor Authentication (MFA) or managed devices. Six months after the audit concluded, the account remained active.

An attacker gained access to the auditor's email. They were in the workspace for 47 days. Unusual query patterns eventually triggered a SIEM alert. This breach could have been avoided with proper identity controls.

EPC Group identity layer controls

Conditional Access Policies — Require MFA for all Power BI access. Require managed devices for Confidential and Highly Confidential workspaces. Block access from unauthorized countries.
Privileged Identity Management (PIM) — Power BI Admin, Fabric Admin, and Purview Admin roles are never permanently assigned. Authorized users activate these roles on-demand with justification, MFA verification, and time-limited sessions (typically 4–8 hours). Every activation is logged.
Guest User Policies — Guest accounts are provisioned with automatic expiration (30–90 days). Quarterly access reviews require the internal sponsor to re-confirm the guest's need. External users face the same Conditional Access policies as internal users — stricter, not more lenient.
Azure AD group-based workspace membership — No individual user assignments. All workspace access flows through security groups with documented owners and regular access reviews.

Layer 2: Data classification

You cannot protect data you have not classified. EPC Group implements a four-tier sensitivity label taxonomy using Microsoft Purview.

Public — Data that can be shared externally without restriction: marketing metrics, published financial results, public-facing KPIs.
Internal — Data for organization-wide consumption but not external sharing: internal operational metrics, headcount data, department KPIs.
Confidential — Data restricted to specific groups: financial projections, HR records, customer PII, strategic plans.
Highly Confidential — Data restricted to named individuals: PHI, executive compensation, M&A information, regulated financial data.

Automatic classification helps identify data patterns. When a Power BI dataset has columns that match specific patterns, Purview assigns the correct sensitivity label automatically. This feature is beneficial when a dataset owner may not know that their joined data contains PII from an unknown source system.

Layer 3: Data protection

Classification drives protection. Every sensitivity label tier carries specific protection controls.

DLP policies — Configured for Confidential and Highly Confidential content. Prevent export to unauthorized destinations.
Row-level security (RLS) — Implemented on every dataset containing user-scoped data. Tested via Power BI REST API with automated validation scripts — not just defined in DAX.
Export restrictions — Export to Excel is restricted by sensitivity label tier. Users cannot download Confidential or Highly Confidential data to unmanaged devices.
Publish to Web disabled — No exceptions. This setting is disabled at the Power BI tenant level.
Custom visuals restricted — Only visuals on an approved whitelist can be used in tenant workspaces.

Layer 4: Audit monitoring

Audit logs must be collected, kept, and reviewed regularly. The default retention period for Power BI audit logs is 180 days.

HIPAA: Requires logs to be kept for 6 years.
SOC 2: Requires at least 1 year of log retention.
FedRAMP: Requires logs to be retained for 3 years.

EPC Group configures Audit Premium and exports logs to Azure Log Analytics for long-term storage and SIEM integration. Custom alert rules trigger on:

Anomalous data access patterns
DLP violations
Label changes

Compliance monitoring dashboards provide security teams with real-time visibility into policy enforcement across all workspaces.

Layer 5: Compliance mapping

Purview Compliance Manager connects technical controls in Layers 1–4 to specific regulatory frameworks. It provides evidence from the audit log and Compliance Manager assessment for:

HIPAA: Each applicable Security Rule standard.
SOC 2: Evidence maps to Trust Services Criteria.
FedRAMP: Evidence maps to NIST 800-53 controls.

These packages are updated continuously. When the auditor calls, the evidence is already organized and indexed.

EPC Group clients have reported a significant reduction in audit preparation time:

From over 200 staff hours
To under 20 hours

Security-first governance implementation checklist

Conditional Access policy requiring MFA for all Power BI and Fabric access.
Managed device requirement for Confidential and Highly Confidential workspaces.
PIM configured for Power BI Admin, Fabric Admin, and Purview Admin roles.
Guest user expiration policy (30–90 days) with quarterly access reviews.
Four-tier sensitivity label taxonomy published and communicated to all users.
Automatic classification rules for PII patterns (SSN, MRN, credit card).
Mandatory labeling policy enforced in Power BI tenant settings.
DLP policies configured for Confidential and Highly Confidential content.
RLS implemented and tested on every dataset containing user-scoped data.
Export to Excel restricted by sensitivity label tier.
Publish to Web disabled for all users — no exceptions.
Audit logging enabled with retention meeting your regulatory requirement.
Compliance monitoring dashboard tracking policy violations in real time.
Purview Compliance Manager assessments configured for each applicable framework.

Frequently asked questions

What is security-first governance for analytics?

Security-first governance means designing identity controls, data classification, protection policies, monitoring infrastructure, and compliance mapping before the first dashboard goes live.

Security-first governance is different from traditional BI implementations. In traditional setups, security is often reviewed after the build is complete. However, organizations that prioritize security from the start:

Spend 3–5 times less on remediation.
Consistently pass compliance audits on their first attempt.

What are the most common Power BI security mistakes?

The five most common issues are:

Publish to Web enabled: This creates public reports with no authentication.
Export to Excel unrestricted: This allows users to download PII to personal devices.
No row-level security: This applies to sensitive datasets.
Guest users without Conditional Access policies.
No audit log collection.

All five are configuration failures, not sophisticated attacks. EPC Group's Security-First Governance Architecture addresses these issues.

How does Microsoft Purview integrate with Power BI?

Purview sensitivity labels automatically apply to Power BI datasets, reports, and dashboards. This ensures encryption and access controls throughout the analytics pipeline.

Additionally, Purview DLP policies stop users from exporting sensitive data to unauthorized destinations.

Purview Compliance Manager connects technical controls to regulatory frameworks such as HIPAA, SOC 2, and FedRAMP. It also calculates compliance scores.

Purview Audit tracks detailed Power BI activity logs, including:

Report views
Data exports
Sharing actions
Admin changes

How long does Power BI audit log retention need to be?

The default is 180 days — insufficient for most regulated industries. HIPAA requires 6 years. SOC 2 requires at least 1 year. FedRAMP requires 3 years. FINRA requires 6 years.

Configure Audit Premium and export logs to Azure Log Analytics for long-term storage. This is the most common compliance gap EPC Group identifies in current Power BI deployments.

Implement security-first governance

EPC Group provides a Security-First Governance Architecture for enterprise analytics environments. Begin with a free analytics security assessment to find gaps in your current Power BI or Microsoft Fabric setup.

Identify vulnerabilities in your analytics environment.
Enhance your security measures.
Ensure compliance with industry standards.

Call (888) 381-9725 or request a discovery call.

Security-First Governance Architecture for Microsoft Analytics

Security-first governance consists of several important elements. These include:

Identity controls
Data classification
Protection policies
Monitoring infrastructure
Compliance mapping

All of these should be in place before launching the first analytics dashboard.

EPC Group has successfully implemented this approach in over 200 enterprise analytics projects. Our experience spans across healthcare, finance, and government sectors.

Organizations that add security to existing platforms typically spend 3–5 times more on fixing issues than those that integrate it from the beginning.

Last updated: 2026. Read time: 15 min.

Key facts

IBM's 2024 Cost of a Data Breach Report: global average breach cost is $4.88 million; healthcare average is $10.93 million — the highest of any industry for 14 consecutive years.
EPC Group has delivered Security-First Governance Architecture for 200+ enterprise analytics organizations.
A 12,000-user healthcare system spent $420,000 and 6 months remediating 800 unlabeled Power BI reports. Early classification would have cost a fraction of that.
Analytics platforms are high-risk targets because they concentrate sensitive data from multiple source systems into a single access point.
The five most common Power BI security mistakes all involve misconfiguration, not sophisticated attacks.

The pattern that causes analytics breaches

Workspaces may have excessive permissions.
Export policies can allow anyone to download patient data to a USB drive.

In the last 24 months, EPC Group has addressed analytics security issues for several organizations. These include:

Healthcare systems with 5,000 users
Financial services firms with 50,000 users

The same pattern occurs each time:

The BI team quickly deployed Power BI.
Security was addressed later.
By the time someone asked, "Is this compliant?" it was not.

The five most common Power BI security mistakes

Publish to Web enabled — Creates publicly accessible reports with zero authentication. This effectively publishes internal data to the internet.
Export to Excel unrestricted — Lets any user download entire datasets including PII to unmanaged spreadsheets on personal devices.
No row-level security on sensitive datasets — Any user with report access sees all rows, including data outside their authorization scope.
Guest user access without Conditional Access policies — External users can access analytics from unmanaged devices without MFA.
No audit log collection — The organization has no record of who accessed what data, when, or from where. This is a critical compliance failure for HIPAA, SOC 2, and FedRAMP.

Security-First Governance Architecture: five layers

EPC Group's architecture consists of five layers. Each layer builds upon the one below it. You must first establish the following before implementing effective data protection (Layer 3):

Identity controls (Layer 1)
Data classification (Layer 2)

Layer 1: Identity controls

Identity is the foundation of every security architecture. If you cannot control who accesses your analytics platform, nothing else matters.

EPC Group identity layer controls

Conditional Access Policies — Require MFA for all Power BI access. Require managed devices for Confidential and Highly Confidential workspaces. Block access from unauthorized countries.
Privileged Identity Management (PIM) — Power BI Admin, Fabric Admin, and Purview Admin roles are never permanently assigned. Authorized users activate these roles on-demand with justification, MFA verification, and time-limited sessions (typically 4–8 hours). Every activation is logged.
Guest User Policies — Guest accounts are provisioned with automatic expiration (30–90 days). Quarterly access reviews require the internal sponsor to re-confirm the guest's need. External users face the same Conditional Access policies as internal users — stricter, not more lenient.
Azure AD group-based workspace membership — No individual user assignments. All workspace access flows through security groups with documented owners and regular access reviews.

Layer 2: Data classification

You cannot protect data you have not classified. EPC Group implements a four-tier sensitivity label taxonomy using Microsoft Purview.

Public — Data that can be shared externally without restriction: marketing metrics, published financial results, public-facing KPIs.
Internal — Data for organization-wide consumption but not external sharing: internal operational metrics, headcount data, department KPIs.
Confidential — Data restricted to specific groups: financial projections, HR records, customer PII, strategic plans.
Highly Confidential — Data restricted to named individuals: PHI, executive compensation, M&A information, regulated financial data.

Layer 3: Data protection

Classification drives protection. Every sensitivity label tier carries specific protection controls.

DLP policies — Configured for Confidential and Highly Confidential content. Prevent export to unauthorized destinations.
Row-level security (RLS) — Implemented on every dataset containing user-scoped data. Tested via Power BI REST API with automated validation scripts — not just defined in DAX.
Export restrictions — Export to Excel is restricted by sensitivity label tier. Users cannot download Confidential or Highly Confidential data to unmanaged devices.
Publish to Web disabled — No exceptions. This setting is disabled at the Power BI tenant level.
Custom visuals restricted — Only visuals on an approved whitelist can be used in tenant workspaces.

Layer 4: Audit monitoring

Audit logs must be collected, kept, and reviewed regularly. The default retention period for Power BI audit logs is 180 days.

HIPAA: Requires logs to be kept for 6 years.
SOC 2: Requires at least 1 year of log retention.
FedRAMP: Requires logs to be retained for 3 years.

EPC Group configures Audit Premium and exports logs to Azure Log Analytics for long-term storage and SIEM integration. Custom alert rules trigger on:

Anomalous data access patterns
DLP violations
Label changes

Compliance monitoring dashboards provide security teams with real-time visibility into policy enforcement across all workspaces.

Layer 5: Compliance mapping

Purview Compliance Manager connects technical controls in Layers 1–4 to specific regulatory frameworks. It provides evidence from the audit log and Compliance Manager assessment for:

HIPAA: Each applicable Security Rule standard.
SOC 2: Evidence maps to Trust Services Criteria.
FedRAMP: Evidence maps to NIST 800-53 controls.

These packages are updated continuously. When the auditor calls, the evidence is already organized and indexed.

EPC Group clients have reported a significant reduction in audit preparation time:

From over 200 staff hours
To under 20 hours

Security-first governance implementation checklist

Conditional Access policy requiring MFA for all Power BI and Fabric access.
Managed device requirement for Confidential and Highly Confidential workspaces.
PIM configured for Power BI Admin, Fabric Admin, and Purview Admin roles.
Guest user expiration policy (30–90 days) with quarterly access reviews.
Four-tier sensitivity label taxonomy published and communicated to all users.
Automatic classification rules for PII patterns (SSN, MRN, credit card).
Mandatory labeling policy enforced in Power BI tenant settings.
DLP policies configured for Confidential and Highly Confidential content.
RLS implemented and tested on every dataset containing user-scoped data.
Export to Excel restricted by sensitivity label tier.
Publish to Web disabled for all users — no exceptions.
Audit logging enabled with retention meeting your regulatory requirement.
Compliance monitoring dashboard tracking policy violations in real time.
Purview Compliance Manager assessments configured for each applicable framework.

Frequently asked questions

What is security-first governance for analytics?

Security-first governance means designing identity controls, data classification, protection policies, monitoring infrastructure, and compliance mapping before the first dashboard goes live.

Spend 3–5 times less on remediation.
Consistently pass compliance audits on their first attempt.

What are the most common Power BI security mistakes?

The five most common issues are:

Publish to Web enabled: This creates public reports with no authentication.
Export to Excel unrestricted: This allows users to download PII to personal devices.
No row-level security: This applies to sensitive datasets.
Guest users without Conditional Access policies.
No audit log collection.

All five are configuration failures, not sophisticated attacks. EPC Group's Security-First Governance Architecture addresses these issues.

How does Microsoft Purview integrate with Power BI?

Purview sensitivity labels automatically apply to Power BI datasets, reports, and dashboards. This ensures encryption and access controls throughout the analytics pipeline.

Additionally, Purview DLP policies stop users from exporting sensitive data to unauthorized destinations.

Purview Compliance Manager connects technical controls to regulatory frameworks such as HIPAA, SOC 2, and FedRAMP. It also calculates compliance scores.

Purview Audit tracks detailed Power BI activity logs, including:

Report views
Data exports
Sharing actions
Admin changes

How long does Power BI audit log retention need to be?

The default is 180 days — insufficient for most regulated industries. HIPAA requires 6 years. SOC 2 requires at least 1 year. FedRAMP requires 3 years. FINRA requires 6 years.

Configure Audit Premium and export logs to Azure Log Analytics for long-term storage. This is the most common compliance gap EPC Group identifies in current Power BI deployments.

Implement security-first governance

Identify vulnerabilities in your analytics environment.
Enhance your security measures.
Ensure compliance with industry standards.

Call (888) 381-9725 or request a discovery call.

Key Facts

Security-First Governance: How to Protect Enterprise Analytics Without Slowing Down Innovation

Quick Answer

Security-First Governance Architecture for Microsoft Analytics

Key facts

The pattern that causes analytics breaches

The five most common Power BI security mistakes

Security-First Governance Architecture: five layers

Layer 1: Identity controls

EPC Group identity layer controls

Layer 2: Data classification

Layer 3: Data protection

Layer 4: Audit monitoring

Layer 5: Compliance mapping

Security-first governance implementation checklist

Frequently asked questions

What is security-first governance for analytics?

What are the most common Power BI security mistakes?

How does Microsoft Purview integrate with Power BI?

How long does Power BI audit log retention need to be?

Implement security-first governance

About Errin O'Connor

Related Articles

Power BI Governance Framework Guide

Microsoft Purview Data Governance Guide

Azure Security Best Practices for Enterprise

Ready to Implement Security-First Governance?

Key Facts

Security-First Governance: How to Protect Enterprise Analytics Without Slowing Down Innovation

Quick Answer

Security-First Governance Architecture for Microsoft Analytics

Key facts

The pattern that causes analytics breaches

The five most common Power BI security mistakes

Security-First Governance Architecture: five layers

Layer 1: Identity controls

EPC Group identity layer controls

Layer 2: Data classification

Layer 3: Data protection

Layer 4: Audit monitoring

Layer 5: Compliance mapping

Security-first governance implementation checklist

Frequently asked questions

What is security-first governance for analytics?

What are the most common Power BI security mistakes?

How does Microsoft Purview integrate with Power BI?

How long does Power BI audit log retention need to be?

Implement security-first governance

About Errin O'Connor

Related Articles

Power BI Governance Framework Guide

Microsoft Purview Data Governance Guide

Azure Security Best Practices for Enterprise

Ready to Implement Security-First Governance?