Secure data transformation

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.


The right data for the right purpose

The right data for the right purpose

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.

Protect and secure data, keep its utility

Protect and secure data, keep its utility

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.

Types of data transformation

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Encrypt sensitive data

The most basic transformation is encryption. We encrypt all your data before processing it, using a secure, symmetric algorithm.

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De-identifying data through key rotation, masking, and tokenization

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.

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K-anonymity

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.

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Privacy streams

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.

A new approach to data security

Approach privacy + security in a better way

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STRM Privacy experts

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FAQ

What is data anonymization?

How can I de-identify data?

When should I apply data masking?

When do I apply key-rotated encryption to data?

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Define

Define

Choose the way you handle data and collaborate on privacy.

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Deploy

Deploy

Deploy as SaaS, inside your virtual private cloud (VPC) or even data centers.

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Share and deliver

Share and deliver

Share your data in clear privacy streams – whether it’s in or outside of your organization.

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