Efficient logging is essential for investigating application issues and ensuring security. AWS CloudWatch helps organizations monitor and manage log data, but it can also expose sensitive information, particularly personally identifiable information (PII). As applications increasingly collect user data, the risk of exposing this information in logs rises. For instance, when handling payments in an app, developers might log credit card details to troubleshoot issues. This creates a dilemma: how to secure PII without slowing down incident response times. To address this, the article outlines strategies for masking sensitive information using AWS services. Amazon CloudWatch allows for real-time logging and offers data masking capabilities that help protect PII while maintaining operational efficiency. AWS Identity and Access Management (IAM) can restrict access to sensitive logs, ensuring that only authorized users can view unmasked data. The article details how to set up data protection policies that can automatically redact information such as credit card numbers and email addresses from logs, allowing teams to troubleshoot effectively while safeguarding user data. A practical example is given with a reference application, PetAdoptions, which captures sensitive user data during transactions. By implementing data protection policies, developers can mask this data in logs without interrupting application functionality. The policies can send logs to designated destinations, ensuring compliance with regulations and enhancing the security of user information while still enabling quick diagnostics of application failures. This approach reconciles the need for operational efficiency with the imperative to protect sensitive data.