Case Study: Zego achieves automated privacy assessments and data mapping with Privado.ai

Zego automates privacy reviews in under 3 days with Privado.ai

Zego, an insurtech company, faced significant challenges scaling its privacy operations due to a small privacy team and a rapidly growing engineering department. Their legacy privacy software required manual questionnaires that took engineers hours to complete, leading to severe delays and low response rates for essential assessments like RoPAs and DPIAs. To automate data mapping and integrate privacy into the development lifecycle, Zego turned to the vendor Privado and its code-scanning solution.

By implementing Privado, Zego automatically generated comprehensive data maps by scanning its codebase, which integrated directly into the developers' workflow on GitHub. The solution pre-filled privacy assessments with code-level data, using engineering terminology to increase engagement. As a result, Zego built data maps in under three days, saw an 8.3-day average response time for RoPAs, and achieved a 61% automatic remediation rate for privacy issues, receiving 10 times more responses to their privacy campaigns.

Zego