We help you get from where you are to where you need to be.
Your challenge is unique. So is our approach. From innovative startups to the Fortune 500 to governments and
regulators, we work with organizations that want to look beyond what they have to do and instead look to what they
should do.
Re-thinking how to represent data privacy, we helped Cisco go from
text-based privacy data sheets to fully-visual maps to showcase data
flow and usage in their products. By utilizing a visual format, we
open another avenue for creating transparent data practices that
will be more accessible and understandable to a wider variety of
audiences, without the need for technical jargon. To facilitate
scaling the process, we also created a custom Data Map Tool software
that can ingest data from existing privacy data sheets to create an
initial Data Map.
We manage Data Curious, a website to help people ask questions and learn more about their data. We provide
straight-forward answers that challenge people to have higher expectations of organizations and companies that
use their data. Data Curious will be more than a question and answer site. It will help individuals ask the
right questions, understand the answers, and be empowered to do something about it.
Intel + UC Berkeley Smartphone Study
Determining people's privacy preferences, and habits, one
smartphone at a time. We recruited Android smartphone users to go
about their daily routine with a test phone running a modified
Android OS to track and collect data on not only the users' daily
actions, but the behaviors of the apps themselves. The modified OS
contained a custom permission settings feature; users were allowed
to change this setting and interact with it throughout the testing
period. By analyzing how users interacted with these permission
settings, we gained valuable insight on not only how to create a
better permissions system, but users’ attitudes and thoughts on app
permission and privacy.
Analyze deidentified datasets by simulating “motivated intruder
attacks” to test the effectiveness of the anonymization techniques.
We work hand-in-hand with the users of the data so as to best tailor
the deidentification practices to reduce the risk of
re-identification, while maintaining as much of the data use as
possible.
Integrating Privacy by Design
Work with Rangle.io to
integrate holistic privacy awareness into their design and workflow
processes; showcasing that responsible design doesn't have to be a
checklist or just a generic privacy policy.