Building Privacy Programs for Software Engineers
About this episode
Vaibhav Antil is the Co-founder of Privado.ai, a developer-friendly privacy platform. Privado was purpose-built as a code-scanning solution for privacy to discover personal data, usage, flows, and leakages, as well as flag privacy issues in the code for GDPR regulations. Vaibhav became a privacy consultant to help companies remain compliant after the introduction of GDPR. Before Privado, he was the Co-founder of Jukebox Studio, which was acquired by Gaana, where he served as the Senior Product Manager of Subscriptions.
In this episode…
When developing apps and other software, engineers often collect excessive consumer data and lack consideration for potential breaches. As a privacy professional, how can you implement developer-friendly privacy programs?
According to privacy consultant Vaibhav Antil, there is a knowledge barrier between engineering and privacy teams. To address and mitigate this, it's essential to provide developers with readily-available privacy tools that display each code's data leaks and breaches. By collaborating with engineers and using familiar language when giving instructions, you can mitigate risks to your software.
In today's episode of She Said Privacy/He Said Security, Jodi and Justin Daniels host Vaibhav Antil, Co-founder of Privado.ai, to discuss building privacy programs for developers. Vaibhav explains privacy debt, the qualities of a developer-friendly privacy program, and how Privado scans codes for privacy risks.
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