Case Study: HP achieves real-time privacy visibility and automated risk detection with Privado AI

HP gains real-time personal data visibility in days with Privado.ai

HP Inc., a leading global technology company, faced the challenge of scaling its privacy management to keep pace with its frequent software updates. Their manual privacy review processes were unsustainable, creating the risk of outdated information leading to compliance gaps and unknown data processing. They needed an automated solution to provide real-time visibility into personal data flows and identify "dark" privacy risks across their vast tech stack. To address this, they turned to vendor Privado.ai and its privacy code scanning solution.

Privado.ai implemented its solution by integrating directly into HP's engineering pipelines to automatically scan code and build dynamic data maps. This provided HP with evidence-based visibility into how personal data was collected, used, and shared, enabling them to automate risk discovery and portions of their privacy reviews. The results included the identification of previously unknown privacy risks, time saved on manual review processes, and the empowerment of engineers who began building privacy into their code from the start.

HP Inc