Capability

Privacy

Apply advanced data privacy controls to ensure appropriate access to data.

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Before Immuta

Highly specialized skills required to design and apply privacy techniques to data (e.g. software engineering, PhD Math, legal engineering)
Lots of data copies needed for restricted data sharing
Difficult to explain data access policies

With Immuta

Abstract away the complexity of applying privacy techniques to data, without the need for specialized skill sets
Eliminate the need for data copies throughout the data sharing process
Create easy-to-understand policies

Privacy Enhancing Technologies

Immuta’s advanced privacy-enhancing technologies (PETs) dynamically mask and anonymize sensitive data – with detailed policy auditing and workflows – to accelerate internal and external data sharing use cases.

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Anonymization

Apply anonymization techniques at query runtime with masking and k-anonymization, format preserving masking, hashing, regular expression, conditional masking, differential privacy, randomized response — all without writing code or copying data.

Obfuscation

Enable data obfuscation at query runtime with hashing, regular expression, rounding, conditional masking, replacing with null or constant, with reversibility, with format preserving masking, as well as external masking — all without writing code or copying data.

Pseudonymization

Implement pseudonymization techniques to reduce linkability of a data set to prevent identification of an individual — all without writing code or copying data.

Minimization

Apply minimization controls at query runtime to return a percentage of the data or otherwise restrict access using prebuilt privacy controls — all without writing code or copying data.