Fides Compass provides deep intelligence about commonly used third-party vendors to automate data mapping and consent, getting you to a state of global privacy compliance quickly. Learn everything about what Fides Compass does, and how, in this blog post.
The Ethyca team has been working hard on Fides. Sr. Software Engineer Allison King walks through the powerful consent features that have been added. Read on to see how Fides handles consent, in one handy script.
Introducing consent management in Fides 2.0. With the coming state privacy laws in 2023, your business needs to have granular control over users’ data and their consent preferences. Learn more about how Fides can enable this for your business, for free.
Masking data is an essential part of modern privacy engineering. We highlight a handful of masking strategies made possible with the Fides open-source platform, and we explain the difference between key terms: pseudonymization and anonymization.
We’re making it free and easy to automate end-to-end DSRs in any infrastructure. This move demonstrates that the Privacy-as-Code approach, as utilized by the Fides privacy engineering platform, can redefine what’s possible for our industry.
Fides enables developers to check for privacy compliance directly in the CI pipeline, proactively addressing risk and compliance according to resource annotations and Fides policies.
Privacy-as-Code is a means of codifying privacy policies in the codebase. Using an example policy on data collection, here’s how to start creating policies in Fides.
To unlock the Privacy-as-Code power of the Fides developer tools, it all starts with understanding the basics of annotations: descriptions of privacy behaviors in the tech stack.
We’re thrilled to announce Fides, an open-source description language and toolset for privacy. Named for the Roman goddess of trust, Fides lets developers make privacy a feature of any tech stack. Read our CEO Cillian’s letter on why we believe Fides can forever change the field of privacy engineering.
In Ethyca, a Data Lifecycle Phase (DLP) is a value or set of values assigned to a particular data use case in the Ethyca application. The phases associated with a use case influence how Ethyca displays the use case on your data map.
