Structure privacy across your organization
Define your privacy policies inside data, enforce proper classification + transformation and control access - saving you tons of work at lower risk.
Define your privacy policies inside data, enforce proper classification + transformation and control access - saving you tons of work at lower risk.
As CISO, DPO and legal team you want to enable your organization to deliver value with safe and compliant tools and processes.
One of the most challenging areas to do this well is in data. The potential value of data is high, but the complexity and fragmented nature amplify risk. This makes data one of costliest domains to manage well from the privacy perspective.
With STRM you align your privacy operations, saving FTE on internal and external coordination costs while decreasing the risk involved.
Define the data shape (the fields) and classify what is personally identifiable (PII).
Apply the privacy lens to how you want to transform the data per field - masking, de-identification or full anonymization.
Compliance in data privacy starts with a legal ground to collect and process data (such as consent, or legitimate interest). Send it as part of the data we process.
After receiving data, we transform according to the data contact and collection ground: we split the data into privacy streams.
Your organization cares about using data. You care most about using it in the proper way. Together with product teams you decide and set the classification and privacy implications, like the outcome of a DPIA. This is the data contract. Which fields are PII? What identifies a user in our systems? This way you don’t just write privacy policies, you encode it inside your data itself.
All together, this adds up to a big reduction in coordination and risk as you don't have to align use case by use case.
Different data needs ask for different processing. With our privacy levels you choose how to balance privacy and data utility, enabling innovation and new use cases without additional risk or sacrificing privacy in the process.
You can keep any data field in plain values, mask it or de-identify entirely. If used in streaming, we are able to anonymize data in real-time, enabling use cases in machine learning and personalization your teams cannot imagine you will allow them to build.
Often, privacy comes into consideration when data is already generated in your systems. This introduces compliance challenges even before any processing is done. With STRM, every data point needs to contain the original consent or legal ground under which it was collected, or we simply bounce it back. This way you never lose track of the original collection ground, wherever the data is.
You can easily implement your existing consent policies with either very granular and specific definitions, or a simple cumulative setting ("consent B includes consent A").
With our privacy streams you create specific data interfaces for individual teams or applications. Based on the legal ground, data contract and privacy levels, data is processed and split while utility is kept. This helps you to set everything once, and be sure it’s dealt with safely forever.
There's more
We're building a full suite of data privacy tooling for Legal & Security professionals.
Forget about RTBF
Time travel for privacy