Since the introduction of GDPR over five years ago, the world hasn’t stopped talking about data privacy, and the privacy breach fines keep being issued left, right, and center. And not just in Europe, either — the issue is topical worldwide.
It seems that software companies are particularly vulnerable to privacy errors of judgment, and that’s no surprise. After all, privacy experts are expensive, and despite the many privacy automation tools on the market, it’s not always possible to prevent errors at the code level. However, the privacy platform Privado is seeking to do just that.
Grammarly for Your Code
Launched only in 2020, Privado announced last month that it had raised $14m in Series A funding. This is a testament to how acute the problem of data privacy is for both users and tech companies.
According to Privado co-founder Vaibhav Antil, the Privado product, which is like “Grammarly for your code,” allows engineers to get instant insights into the usage of personal data by their apps and products. They can monitor the flow of personal data and spot privacy risks. These insights allow them to facilitate personal data compliance. Antil explains that engineers need access to “tools to grow privacy at the same time”.
1/9 Building on our last week’s funding announcement, I’m excited to announce that we at @PrivadoHQ are open sourcing our privacy code scanning solution.
What u need to know: 🧵
— Prashant Mahajan (@prashantmahajan) August 30, 2022
The Grammarly reference is a good description. Like the popular proofreading solution, Privado scores the code for data privacy and security issues and notifies the developer of any existing problems, such as data leakages to logs. The open-source tool allows the engineers to ensure their software follows the “privacy by design” principle in real time. For example, the tool detects any PII in the code. It will notify the developer and show them what PII is touched in the repository.
The Privado tool connects with repositories such as GitHub and provides a visual overview of its code scanning results to highlight the privacy issues it’s spotted.
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