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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 GrowthDot GDPR Compliance?

The GDPR Compliance application tailored for Zendesk streamlines the management of customer data by enabling its deletion, anonymization, and retrieval within the Zendesk platform. It comes equipped with a range of vital functions, such as the ability to handle thousands of tickets and contacts at once, along with merging user, ticket, and organizational data into detailed lists. Users can create targeted ticket and contact lists for large-scale processing, which aids in ensuring compliance by facilitating the removal of personal information associated with users or organizations. Moreover, the application secures sensitive information while offering features that allow users to compile and export data in CSV format. There is also the convenience of editing data both individually and in bulk, with the option to fully anonymize sensitive information like credit card details and phone numbers. Additionally, the app supports automation setup and scheduling for various tasks, provides users with the ability to analyze statistics, and presents an easy-to-navigate interface for enhanced usability. Agents are empowered to submit data processing requests, receiving the necessary permissions to carry out these actions, and the application includes customizable settings for anonymizing tags within tickets. In summary, this tool not only simplifies GDPR compliance for organizations using Zendesk but also enhances overall data management efficiency.

Media

Media

No images available

Integrations Supported

Zendesk

Integrations Supported

Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$41.70 organization/per month
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

GrowthDot

Date Founded

2015

Company Location

Ukraine

Company Website

growthdot.com

Categories and Features

Categories and Features

GDPR Compliance

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

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