Almost all businesses use Power BI to consolidate their multiple data sources together to shape the data into visually interpretable reports.
Needless to say, these reports help businesses take important decisions backed by actionable data insights. But is your data secure on Power BI platforms? Ensuring data security on Power BI is critical since they handle sensitive business information raising following concerns:
This blog post outlines Power BI security best practices and all the different types of security features offered by Microsoft to safe guard your crucial data from unauthorized users and hackers.
Power BI, a business intelligence tool, offers various security features to ensure that data is secure and accessible only to authorized individuals. These features are:
Data security: Control access to data by ensuring that only authorized users can access specific data. Power BI provides several features such as row-level security,dynamic security, and Azure Active Directory (Azure AD) security.
Authentication security:This refers to the process of verifying the identity of a user or device attempting to access the system. Power BI supports various authentication methods, such as Azure AD, Active Directory Federated Services (ADFS), and OAuth 2.0.
Network security: Secure data in transit between Power BI and other systems or users through SSL/TLS encryption.
Compliance security:This refers to ensuring that data is compliant with regulatory requirements such as GDPR, HIPAA, and PCI DSS. Power BI provides several features to ensure compliance, such as data classification, data loss prevention, and audit logs.
Row-level security (RLS) is a security feature in Power BI that enables you to restrict data access at the row level based on user roles or other criteria. With RLS,you can control who can access specific data, and which data they can access.
How to add row level security in Power BI?
To implement Power BI row level security, follow these steps:
Note that you need a Power BI Pro or Power BI Premium license to implement row-level security as it is not available in the free version.
Instead of restricting users from accessing the entire report or file, limit the access to particular tables and columns with sensitive data such as financial records.This is called Power BI object level security model. However, Microsoft does not allow OLS in Power BI desktop. Use external tools like Tabular editor for configuring OLS and creating roles.
Steps to use the external tools feature to automatically connect the Tabular editor to OLS model.
Remember Power BI object level security is applicable only to users with viewer role in workspace.
Azure AD allows you to enforce security policies, control access to your Power BI content, and manage user authentication. Here are some ways to use Azure AD for Power BI Desktop security:
Admins of Microsoft 365 and Azure can control the amount of information shared within and outside the businesses using sensitivity labels. The feature lets admins configure labels on reports thus restricting the distribution capability.
What’s great about this feature is that the labels are also applied to the Office file. However, implementing this security practice can be costly depending on your Microsoft 365 subscription.
Adding security to workspaces help you define who can access datasets, reports, and other published content. Dividing the user roles( Admin, member, contributor, and viewer) in workspace will further enhance data security. Additionally, you can limit the extent of data access by assigning privileges to these user roles.
For example, a user with view access can only see the content whereas contributor can make changes in the content. You can define the access level for users from the admin portal and then go to settings.
Regularly checking the logs of activities on the Power BI platforms helps evaluate whether all the regulatory requirements are met or not. Only admins with authority to access Office 365 Admin centre can review the Power BI event logs such as dataset created and deleted reports,shared, and exported reports with other users.
When sharing the content with users outside your business, it is important to add an extra layer of security in Power BI.This external sharing is done through Azure Active Directory B2B where you can set permissions for guest users. There are two ways to share reports and files with guest users:
Power BI guarantees data security, whether your data is at rest, in transit, or in use. Azure SQL DB and Azure Blob Storage provide encryption for data at rest while HTTPS encrypts data in transit. However, when sharing data, the complete responsibility of data lies with you.
Use credentials for Power BI reports when sharing with an unauthenticated person. For public reports, disable the ‘Share content with external users’ setting in the admin portal. There is another setting to secure the reports from getting published on the internet. Turn off the‘Publish to web’ setting, do it for the whole organization.
Also, turn off the’ export data’ setting if you don’t want users to print the reports. These settings will help what users can and cannot do with reports.
Data gateways act as bridges between on-premises data sources and Power BI cloud services.Ensuring that these gateways are secure and up to date is crucial for maintaining data security. There are two ways to monitor and manage them:
Implement data classification policies to categorize your data according to its level of sensitivity. Additionally, set up data retention policies to ensure data is stored only for the necessary duration and deleted when it is no longer needed.This reduces the risk of data breaches and ensures compliance with data protection regulations.
A significant aspect of maintaining security in Power BI is educating your users about the best practices and potential risks. Regularly train your users on topics such as:
Regularly assess the security of your Power BI implementation to identify vulnerabilities and ensure that your security measures are effective. Conduct security assessments such as penetration testing, vulnerability scanning, and risk assessments to detect and fix any potential weaknesses in your system.
Power BI's built-in data protection features, such as Data Loss Prevention (DLP) and Information Rights Management (IRM), further enhance data security. DLP policies help prevent sensitive data from being inadvertently shared or leaked,while IRM allows controlling and restricting access to the sensitive reports and datasets.
Track user activity in your Power BI environment to detect unusual or suspicious behavior that could indicate a security breach or unauthorized access. Use tools like Azure AD's monitoring and reporting features to create alerts and notifications for specific activities or behavioral patterns.
Outline all the necessary steps to be taken in case of a breach or unauthorized access. Share this plan with all the relevant personnel who play a vital role in preventing those incidents.
Using power BI APIs, you can develop and integrate security features like custom authentication, access control, and auditing into your Power BI environment.
When embedding Power BI reports and dashboards into your applications or websites,ensure that the embedded content is secure. Embedding options like App Owns Data or User Owns Data allow you control the access to the embedded content and protect it from unauthorized access.
Stay informed about the latest security trends, vulnerabilities, and Power BI security best practices to ensure that the Power BI environment remains secure and compliant.
Ensure the availability and integrity of your data in case of a system failure, data loss,or other unexpected events with a backup and disaster recovery plan. Regularly backup your Power BI datasets, reports, and dashboards, and store these backups in a secure offsite location.
When connecting Power BI to various data sources and integrating with other systems,ensure that these connections are secure. Use encryption, secure authentication methods, and access controls to protect data flowing between Power BI and external systems.
Give users the minimum level of access required to perform their tasks. Regularly review and update their permissions and roles to prevent unnecessary access to sensitive data and features.
Data masking allows you to display a redacted or obfuscated version of sensitive data,preventing unauthorized users from viewing the actual information while maintaining the overall structure and appearance of the data.
Be cautious when integrating third-party applications, services, or custom visuals into your Power BI environment. Evaluate the security of these integrations and monitor their access to your data. Ensure that any third-party tools you use adhere to your organization's security standards and best practices.
Promote a security awareness culture within your organization, emphasizing the importance of data security in Power BI and the role that every user plays in protecting sensitive information. Regularly communicate security updates, Power BI security best practices, and guidelines to your users, and encourage them to report any suspicious activity or potential vulnerabilities.
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