Insurance companies manage vast amounts of sensitive data across various services and cloud resources, requiring strict compliance frameworks such as HIPAA, GDPR, and CCPA to ensure its protection. To safeguard this information, insurance organizations can use Sensitive Data Scanner (SDS) to discover, classify, and redact sensitive data in telemetry data, logs, APM spans, RUM events, and cloud storage environments like Amazon S3 and RDS instances. SDS enables the creation of scanning groups to define what data to scan, with preconfigured rules for popular data types and compliance standards, allowing teams to easily identify sensitive data vulnerabilities and inform remediation strategies. Additionally, SDS can automatically flag instances of PII stored in cloud repositories and provide context about potential vulnerabilities across the cloud, leading to faster, more informed remediation processes.