Insurance companies face significant challenges in managing and securing sensitive data due to the complexity of the data types, fragmented storage across multiple departments and legacy systems, and reliance on third-party SaaS solutions. To address these challenges, Datadog's Sensitive Data Scanner (SDS) can be used to discover, classify, and redact sensitive information in telemetry data, including logs, APM spans, and RUM events. SDS also enables the automatic flagging of instances of PII stored in Amazon S3 buckets and RDS instances as new resources are spun up. Additionally, SDS helps triage and remediate sensitive data vulnerabilities by providing a centralized view of security posture and identifying potential vulnerabilities for cloud storage environments. By using SDS, insurance companies can simplify the discovery, classification, and management of sensitive data across their telemetry data and cloud storage environments, helping to mitigate risk and comply with regulations such as HIPAA, GDPR, and CCPA.