Using SaaS today is like storing valuables in a bank vault — without knowing what’s inside, and sharing the combo widely.
Your digital footprint is a minefield of exposed sensitive data. Terabytes of data in Google Drive, years of Slack conversations, existing code in hundreds of repositories in GitHub, decades-old email archives, countless files or tickets in Jira, Confluence and Zendesk, thousands of existing Salesforce records - all potentially harbor sensitive information such as PII, PHI, PCI, secrets and credentials, and intellectual property. This sprawling landscape of historical sensitive data is an incident waiting to happen.
Cleaning up historical or archived data is a herculean task. Manually combing through files and folders is error-prone and a lifetime of work. But legacy DLP solutions are real-time only, so how do we actually prevent against breaches when historical data is out in the open, for anyone motivated to find it?