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What is NavInfo Anonymization?

Protect the identities within your dataset by ensuring faces and license plates are anonymized, which aligns with privacy laws such as GDPR, CCPA, and APPI. You can assess the success of the anonymization process by comparing images before and after applying our examples. If you want to test the tool using your own image, simply upload a JPEG or PNG file (up to 4MB) to see how effectively it strips away any identifiable personal details. Our solution for GDPR compliance includes critical features that uphold regulatory standards while allowing seamless downstream operations and can be tailored to meet specific needs. We offer deployment options that focus on improving processing efficiency and reducing the need for human intervention, ultimately conserving time and resources. These deployment methods are versatile, encompassing cloud-based, on-premise, or API integration. Additionally, the system excels at obscuring faces and license plates, even in intricate visual contexts and various camera angles, thereby ensuring robust privacy protection. This capability is essential in an increasingly data-oriented landscape, underscoring the necessity of privacy compliance and the safeguarding of personal information. With these features, users can confidently navigate the complexities of data privacy in their operations.

What is IBM InfoSphere Optim Data Privacy?

IBM InfoSphere® Optim™ Data Privacy provides an extensive range of tools aimed at effectively concealing sensitive data in non-production environments such as development, testing, quality assurance, and training. This all-in-one solution utilizes a variety of transformation techniques to substitute sensitive information with realistic, functional masked versions, thereby preserving the confidentiality of essential data. Among the masking methods employed are the use of substrings, arithmetic calculations, generation of random or sequential numbers, date manipulation, and the concatenation of data elements. Its sophisticated masking capabilities ensure that the formats remain contextually relevant and closely mimic the original data. Users are empowered to implement a wide selection of masking strategies as needed to protect personally identifiable information and sensitive corporate data across applications, databases, and reports. By leveraging these data masking functionalities, organizations can significantly reduce the risk of data exploitation by obscuring, privatizing, and safeguarding personal information shared in non-production settings, thus improving data security and regulatory compliance. Furthermore, this solution not only addresses privacy concerns but also enables businesses to uphold the reliability of their operational workflows. Through these measures, companies can navigate the complexities of data privacy with greater ease.

Media

Media

Integrations Supported

Amdocs Customer Experience Suite
Hadoop
IBM Cloud
IBM Db2
IBM InfoSphere Optim
IBM Informix
JD Edwards EnterpriseOne
Oracle PeopleSoft
Oracle Siebel CRM
SQL Server

Integrations Supported

Amdocs Customer Experience Suite
Hadoop
IBM Cloud
IBM Db2
IBM InfoSphere Optim
IBM Informix
JD Edwards EnterpriseOne
Oracle PeopleSoft
Oracle Siebel CRM
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NavInfo

Company Location

Netherlands

Company Website

www.navinfo.eu/anonymization/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/il-en/products/infosphere-optim-data-privacy

Categories and Features

Categories and Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

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