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features
design
support

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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.

Description

Privacy Hub, our Data Privacy Management Software, offers the adaptability needed to fulfill your business requirements while enhancing efficiencies to boost your return on investment and providing the transparency that keeps board members satisfied. We provide a comprehensive array of Data Privacy Management solutions designed to assist you in navigating your compliance journey. As your organization progresses in its privacy management efforts, we are here to support you every step of the way. The emergence of global privacy regulations, such as GDPR and CCPA, has prompted companies to rethink their approach to managing data privacy. Privacy Hub by Wrangu is an effective and user-friendly solution that addresses these challenges on a large scale, enabling businesses to streamline their privacy program management within a unified platform. Our software not only automates but also integrates the various activities of different teams, producing a coherent result that guarantees ongoing compliance and fosters a culture of data privacy awareness throughout the organization. Ultimately, implementing Privacy Hub can empower your team to proactively manage data privacy while staying ahead of regulatory requirements.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Java
Jira
Python
SPARK
ServiceNow

Integrations

Java
Jira
Python
SPARK
ServiceNow

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

Tumult Analytics

Founded

2019

Country

United States

Website

www.tmlt.dev/

Vendor Details

Company Name

Wrangu

Country

Netherlands

Website

www.wrangu.com/data-privacy-management/

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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