<p dir="ltr" style="line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">

<p dir="ltr" style="line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">[size= 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Power BI provides basic security features like role-level security (RLS), but it lacks finer controls like column-level security or dynamic data masking. Power BI development handling sensitive or regulated data must use additional tools or databases, increasing project complexity. Implementing security configurations across multiple datasets or reports becomes cumbersome in large-scale deployments. Power BI&rsquo;s reliance on external platforms like Azure for advanced security adds cost and requires specialized knowledge. Ensuring compliance with stringent regulations such as GDPR or HIPAA further complicates development, making it challenging for developers to deliver robust yet compliant solutions within Power BI&rsquo;s limitations.[/size]