Question

Are there any security considerations when using R or Python scripts in Power BI?

I want to understand the security implications of using R or Python scripts in Power BI. Can you explain any potential risks related to data access, external libraries, or code execution, and provide best practices for ensuring data security and integrity when using these scripts in Power BI?

Answer 1

Using R or Python scripts on Power BI has certain security risks , such as data accessibility by the script. It includes proper permission and data masking.

External Libraries: Unverified external libraries can introduce vulnerabilities, so use trusted, well-maintained packages.

Code Execution: Malicious code can be executed through scripts. To mitigate this, Enable strict security settings and validate any code running in Power BI.

Best practices include using Power BI’s security roles, ensuring data encryption, and restricting access to external libraries through sandboxing.

Comments

Ensure secure script usage in Power BI by validating code, restricting external libraries, and enforcing strict permissions and data protection policies

Answer 2

Yes, using R or Python scripts in Power BI can pose security risks related to arbitrary code execution, external library dependencies, and unrestricted data access, so it's essential to validate code, limit script execution to trusted sources, and use secure environments.