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ease
features
design
support

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Description

The Privacy Control Center enhances the protection and management of personal data through customized modules and workflows. It offers a clear and intuitive visual summary of your organization's privacy efforts, allowing for easy comprehension of your current status. Additionally, it features a comprehensive yet user-friendly register for documenting processing activities, requests from data subjects, and incidents of data breaches. The audit and control module is designed to ensure the integrity of your privacy policy both in the immediate future and over the long haul. All privacy initiatives are organized into actionable plans and schedules, ensuring effective implementation. Moreover, it consolidates all relevant internal and external documents in a single repository for ease of access. The knowledge base comes equipped with essential documents that can be further enriched with your organization's internal knowledge and processing agreements. This Privacy Control Center serves as a structured maintenance tool for data processing, facilitating organized administration. Ultimately, it provides organizations with a robust framework to enhance their privacy strategies and ensure compliance effectively.

Description

Developed and continuously improved by a dedicated team of professionals specializing in differential privacy, this system is actively utilized by organizations such as the U.S. Census Bureau. It operates on the Spark framework, seamlessly handling input tables with billions of entries. The platform offers an extensive and expanding array of aggregation functions, data transformation operations, and privacy frameworks. Users can execute public and private joins, apply filters, or utilize custom functions on their datasets. It enables the computation of counts, sums, quantiles, and more under various privacy models, ensuring that differential privacy is accessible through straightforward tutorials and comprehensive documentation. Tumult Analytics is constructed on our advanced privacy architecture, Tumult Core, which regulates access to confidential data, ensuring that every program and application inherently includes a proof of privacy. The system is designed by integrating small, easily scrutinized components, ensuring a high level of safety through proven stability tracking and floating-point operations. Furthermore, it employs a flexible framework grounded in peer-reviewed academic research, guaranteeing that users can trust the integrity and security of their data handling processes. This commitment to transparency and security sets a new standard in the field of data privacy.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Java
Python
SPARK

Integrations

Java
Python
SPARK

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Privacy Control Center

Country

Netherlands

Website

www.privacycontrolcenter.com/en

Vendor Details

Company Name

Tumult Analytics

Founded

2019

Country

United States

Website

www.tmlt.dev/

Product 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

Product 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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