[
IBM Inf... Reviews
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[
IBM Inf... Reviews
](https://www.g2.com/products/ibm-infosphere-optim-data-privacy/reviews)

# IBM InfoSphere Optim Data Privacy Features

##### 
## Compliance (2)

GDPR compliant

Meets GDPR requirements for pseudonymisation under the Data Protection by Design and by Default requirements.

CCPA compliant

Meets de-identification requirements under the CCPA.

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##### 
## Functionality (3)

Static pseudonymization

Offers traditional static de-identification (also known as consistent replacement), where the pseudonymized data uses the same pseudonyms across multiple data sets. For example, John Smith is replaced with Robert Fox and the Robert Fox name is used multiple times. This type of pseudonymization carries some risks of re-identification if paired with enough datasets.

Dynamic pseudonymization

Offers dynamic de-identification (also known as random replacement), where the pseudonymized data uses different pseudonyms across multiple data sets. For example, John Smith is replaced with Robert Fox once, and then the next time the data is used the name changes to Michael Jones. This type of pseudonymization carries lesser risk of re-identification if paired with many datasets.

Batch de-identification

Offers methods to de-identify large volumes of data using batch files.

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##### 
## Connectivity (2)

Mobile SDK

Connects to mobile platforms using a mobile SDK.

Web services APIs

Offers APIs to connect products.

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##### Categories on G2

[
Data De-Identification
](https://www.g2.com/categories/data-de-identification)

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