An interview with Sheila Jambekar, CPO at Plaid
GDPR compliance, privacy and engineering team collaboration, and common mistakes companies make with their data.
GDPR compliance, privacy and engineering team collaboration, and common mistakes companies make with their data.
Discussing developer responsibility, Bill C-11, positive consent, and the importance of Privacy by Design
“When is anonymization useful?” is a tricky question, because the answer is highly data-type- and task-dependent.
On the misleading ways journalists and industry use the term “anonymization.”
Regexes are highly effective in the perfect world of computer data, but unfortunately the real world is much more complicated.
There exists a vibrant ecosystem of specialized security tools. The sad truth is that it is almost impossible to reach 100% invulnerability. What can we do to get closer?
In the past three years there has been a massive wake-up in customer awareness about privacy. Many customers are now refactoring how they buy, taking their business elsewhere if they don’t trust a company’s data practices.
Privacy Enhancing Technologies Decision Tree:
for developers, managers, and founders looking to
integrate privacy into their software pipelines
and products.
We introduce the four pillars required to achieve perfectly privacy-preserving AI and discuss various technologies that can help address each of the pillars.