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What is Dataguise?

Do not let worries about data privacy or security hinder your innovative initiatives fueled by analytics. Dataguise provides powerful protection for sensitive and personal information through flexible masking and encryption technologies, allowing you to fully leverage business value. With data sets ready for analysis delivered almost instantly, you can obtain more current insights and make educated decisions grounded in a thorough understanding of your data environment. Acknowledging the shifting and varied needs of clients, Dataguise has developed a robust ecosystem of carefully chosen partners to offer more extensive solutions, services, and expertise. This executive guide highlights strategies for protecting data privacy while simultaneously enhancing data value. When comparing different data discovery tools, it is evident that Dataguise boasts a longer track record, supports a broader range of data types and repositories, maintains lower false-positive rates, and performs large-scale data scans more efficiently. By opting for Dataguise, organizations can confidently utilize their data to inform decisions that align with their strategic goals, ultimately cultivating a culture of informed and deliberate decision-making. Furthermore, adopting such advanced solutions not only safeguards sensitive information but also empowers teams to innovate without fear of compromising data integrity.

What is Antimatter?

Customers increasingly seek transparency about where their data resides and who has access to it at every stage of the process. The challenge of duplicating infrastructure and redesigning applications to meet these demands can be both costly and daunting for development and DevOps teams. Nevertheless, it is possible to meet customer expectations through cryptographic solutions without the need to modify your current infrastructure or code. By providing clients with verifiable guarantees regarding data accessibility and the identities of those who can access it, trust is significantly bolstered. Antimatter works effectively beneath your existing containers and is compatible with all major cloud platforms, thus alleviating the burden of engineering modifications. It utilizes secure enclaves available in leading clouds to automatically encrypt customer data, whether it’s being transmitted, stored, or processed. This innovative approach enables you to effortlessly address customer requirements concerning data residency, governance, and tenancy. Consequently, you can accelerate sales, explore new markets, and close deals that were once out of reach. Our vision is for a future where both organizations and individuals have control over their data, no matter its location or the applications employed. In achieving this, the right to data control is established as a fundamental principle for all parties involved, empowering them to make informed decisions about their information.

Media

Media

Integrations Supported

ALIP
Alation
Amazon Web Services (AWS)
Cloudera
Collibra
DataOps.live
Decimal
Google Cloud Platform
IBM Cloud
Microsoft Azure
OneTrust Privacy Automation
SAP Cloud Platform
Snowflake
Titus Classification Suite
TrustArc

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Dataguise

Date Founded

2007

Company Location

United States

Company Website

www.dataguise.com

Company Facts

Organization Name

Antimatter

Date Founded

2020

Company Location

United States

Company Website

www.antimatter.io

Categories and Features

Data Discovery

Not specified

Data Masking

Not specified

Data Security

Not specified

Encryption

Not specified

Categories and Features

Data Security

Not specified

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