Avoiding Data Privacy Issues While Using Crowdsourced Services [Podcast] title image

Avoiding Data Privacy Issues While Using Crowdsourced Services [Podcast]

Using the crowd to perform repetitive tasks is an increasingly common option for teams looking to scale software testing. According to the HPE World Quality Report for 2016-17, 47% of teams surveyed have used a crowdsourcing solution to execute tests more quickly. However, the growing use of crowdsourcing in tech has raised questions about data privacy and security. Many teams want to know how they can gain the benefits of using crowdsourcing services like Amazon Mechanical Turk without sacrificing security.

Data Privacy at Rainforest QA

Here at Rainforest, leveraging the crowd effectively is a critical part of providing a human perspective for functional testing. To make sure our testers meet the high bar we set for customer privacy and (HIPAA compliance), we've designed our on-demand QA solution with a focus on data security.

Nicolas Valcárcel, Rainforest’s Security Architect, recently appeared on the Brakeing Down Security podcast to discuss the data privacy implications of using crowdsourced services. On the podcast, Nicolas discusses how Rainforest uses crowdsourcing to scale testing and the steps we take to minimize risks of data loss for our users.

Listen to the Brakeing Security Podcast

Listen to the Brakeing Security podcast here to hear how Nicolas and the rest of the Rainforest team ensures customers’ data privacy, and his advice for teams looking to leverage crowdsourced work for themselves.

For even more detail, read Nicolas’ paper on securely relying on the crowd to learn more about how we manage and monitor crowdsourced workers at Rainforest.

What is rainforest?

Rainforest is a unified platform for software testing. Quickly build no code QA tests that can be run with automated or crowd execution. Works across browsers, platforms, and mobile.