Enforcing privacy into data requires more than just a policy. You need encryption, masking, and anonymization too. Oh, and all the while, you don’t want your data to lose any value. STRM ticks all of these boxes. And then some.
Wouldn’t it be easier to know what happens to your data before you process it – and not just when you use it? This is exactly what STRM does. Your data handling is much more secure, and always aligns with your policies.
Whether you’re transforming data for privacy reasons or deploying technology to enhance privacy, it often means changing entire datasets. STRM allows you to be precise. Instead of opting for a sledgehammer, you can configure and apply transformations on a field level. This means you're safe where you need to be without losing data value.
The most basic transformation is encryption. We encrypt all your data before processing it, using a secure, symmetric algorithm.
Need to remove direct identifiability from your data? We got you covered. Rotating keys help to break patterns between records. Masking data strips it of its value for unauthorized intruders. Last but not least, tokenization replaces sensitive data elements with non-sensitive substitutes.
For data to be anonymous, you need more than restricting access or removing direct identifiers. Enter k-anonymity. This means that data from one individual is pooled in a larger group. Information in the group could correspond to any single member, masking the identity of said individual.
Based on the legal basis, the data contract, and the transformation, STRM distributes your data in privacy streams. These are dedicated interfaces that contain safe-to-use data for a specific purpose.
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Deploy as SaaS, inside your virtual private cloud (VPC) or even data centers.Learn more
Share your data in clear privacy streams – whether it’s in or outside of your organization.Learn more