SpinDLP by Spin Technology enhances data leak prevention and data loss protection capabilities in SaaS environments. It provides full visibility on data exposure by monitoring files shared outside or inside an organization. SpinDLP changes sharing access and ownership of files to protect them from possible data leaks manually or through automated policies. It monitors sensitive data across core services and sends alerts for confidential data sent, stored, or received by users. SpinDLP creates policies to automate file sharing access management, sensitive data detection, and abnormal user behavior. It controls abnormal events with notifications on abnormal logins, data downloads, or transfers. SpinDLP mitigates risks related to employee offboarding, such as unauthorized sharing or data theft. It scans files to detect sensitive data and identifies improperly shared files, changing sharing settings to safer ones. IT teams can set precise policies to prevent data leak incidents. SpinDLP scans mailboxes, attachments, user drives, and shared folders to identify and alert on sensitive data, ensuring confidential business information is not being sent, received, or shared. It uses data encryption at rest, in transit, and in use to secure information. SpinDLP monitors Google Workspace or Microsoft 365 environments to identify and take action on risks to SaaS data. It can detect suspicious downloads, sharing, sending or receiving, or any other manipulations with data. Once suspicious activity breaks the conditions set in policies, an alert is received. Administrators can manage sharing permissions both manually and automatically by setting up customized SpinDLP policies. SpinDLP can monitor many sensitive data types, including credit card numbers, domain names, IP addresses, social security numbers, and more. It continuously scans all data in SaaS environments and can stop sharing data immediately if a policy is broken, taking actions defined by the admin. SpinDLP sends real-time alerts to Splunk, ServiceNow, Jira, or Slack.