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.Learn more
- 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
- 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
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.
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.
Implement pseudonymization techniques to reduce linkability of a data set to prevent identification of an individual — all without writing code or copying data.
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.
Identify your sensitive data by scanning, tagging, and classifying.Learn more
Write data policies in plain language, enabling data policy democratization.Learn more
Fine-grained data security with ABAC, enforced at scale.Learn more
Advanced Privacy Enhancing Techniques (PETs) for data masking and obfuscation.Learn More
Prove compliance with tracking, auditing, and reporting.Learn more
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