Resources

Briefs

GDPR Compliance Data Sheet Thumbnail

Accelerate GDPR Compliance With Dataguise Dgsecure

Dataguise can help you tackle the most comprehensive set of GPDR challenges with a single technology solution. Download this datasheet and learn how DgSecure detects, protects, audits, and monitors personal data for GDPR compliance, on-premises and in the cloud.

Detecting and Protecting Sensitive Data: Teradata + Dataguise Customer Use Cases

Teradata customers want to maximize the value of all their data. They want to give more users access to more data, but they also need to keep confidential information safe—and concerns about data security shouldn’t keep them from leveraging the power and efficiency of the cloud.

Data-Centric Detection and Protection In Teradata

The precursor to any comprehensive data-centric security and governance tool is knowing exactly what to protect. Dataguise DgSecure offers industry leading sensitive data detection capability that can accurately determine the counts and exact location of all the sensitive data in the enterprise data repository.

Dgsecure Dashboard

Sensitive data is constantly flowing in and out of your enterprise—and to and from the cloud—whether you know it or not. As big data gets bigger and cloud usage increases, governing sensitive data and managing digital risk at an enterprise level are daunting challenges. Learn how you can get a single, comprehensive view of sensitive data governance across your enterprise.

Securing Sensitive Data on Amazon Web Services

Dataguise DgSecure delivers the most precise, data-centric security solution that detects, audits, protects, and monitors sensitive data in real time wherever it lives and moves across the enterprise and in the cloud. For Amazon Web Services (AWS) customers, it offers industry-first support for sensitive data stored in Amazon Simple Storage Service (Amazon S3) and accessed via Amazon Elastic MapReduce (Amazon EMR) for all your big data use cases.

DgSECURE Monitor

Don’t wait months before finding out you had a data breach. Know in just minutes with DgSecure Monitor, a different kind of monitoring solution precisely focused on safeguarding the sensitive data your organization values most. Download the datasheet to learn more.

Enabling Secure Business Execution™ for the Data-Driven Enterprise

Secure Business Execution is the ability of an organization to safely and responsibly leverage all of their data to gain new business insights, drive incremental revenue and maximize competitive advantage. Learn how Dataguise enables this essential differentiator for today’s data-driven enterprise.

Precisely Audit and Monitor Sensitive Data with Dataguise and MapR

Businesses today are more data-driven than ever, leveraging Hadoop to create new risk measurement products, reduce fraud, and accelerate customer insights. They are increasing their investment in MapR Technologies to drive more revenue-generating, market-facing insights and applications. At the same time, these organizations are expanding the likelihood that sensitive personal, financial, or health data may be exposed in Hadoop and or in the cloud.

Securing Sensitive Data In Hadoop On Azure

Dataguise delivers the most precise security solution that detects, audits, protects, and monitors sensitive data assets using a 100% cloud-based, automated platform that secures HDInsight and other Hadoop Distributions available in the Azure Marketplace. As your organization brings data into Azure, you can define your sensitive data policies with Dataguise.

Securing Sensitive Data In Sql Server

Dataguise delivers the most precise security solution that detects and protects sensitive data assets. As your organization brings data into SQL Server on Azure, you can define your sensitive data policies with Dataguise. Our one-stop solution will then detect the location and amount of all sensitive elements, optionally mask, redact, or scramble what shouldn’t be there, and ensure all of your sensitive PII, PCI, and HIPAA data in structured, semi-structured, and fully unstructured formats stays secure in the Azure cloud.

Bloor Research – Discovering Sensitive Data Market Update 2020

Bloor Research provides an overview of the Sensitive Data Discovery landscape and trends.

Privacy Data Compliance Starts with Knowing Your Sensitive Data

Stringent privacy laws, like the General Data Protection Regulation (GDPR) and the California Consumer Protection Act (CCPA), are creating new compliance challenges for enterprises.

Trov Insurance Solutions

Trōv, an on-demand insurance company, needed to pseudonymize structured and unstructured production data to help comply with GDPR and other data privacy regulations. It needed to be able to identify and protect all sensitive data, regardless of location.

ARI Fleet

ARI Fleet, a global fleet management company, needed an affordable, and scalable, solution to mask data based upon specific business criteria.

Healthcare Leader

This Dataguise customer has grown over decades in healthcare management service across the United States. The company provides behavioral healthcare treatment and management services to health plans and other managed care organizations, employers, labor unions, various military and governmental agencies, pharmacies, and third-party administrators.

Global Biotech Company

This Dataguise customer is a biotechnology company based in California and is dedicated to scientific research and development for medicines to treat people with serious and life-threatening diseases.The company employs almost 15,000 employees and achieves nearly $2 billion in annual revenue.

Medical Equipment & Services Company

This California-based Dataguise customer creates innovative medical equipment and services for diagnosing, treating, and managing pulmonary and respiratory disorders. Their cloud-connected medical devices transform care for people with critical chronic diseases.

Financial Services Company (Discovery, Protection, PCI)

Digital is redefining the banking industry, as mobile technologies, social media, and the Internet of Things (IoT) are generating unprecedented volumes of data about customers. Financial services firms that are able to harness this data to uncover new business insights and develop the digital tools customers want—even before they know they want them—will be the winners in this new competitive landscape.

Financial Services Company (Discovery, Masking, Privacy Compliance)

A financial services company needed to discover, protect, and monitor personally identifiable information (PII) stored across all its AWS data repositories to prepare for data protection laws that are country- and state-specific, including GDPR, CCPA, and PIPEDA.

Samsung

Samsung runs several of the world’s largest big data product analytics applications. To ensure worldwide global privacy protection, Samsung has deployed Dataguise across the globe to run continuous detection and encryption for the sensitive user-specific elements of their mobile phone logs.

Miri Infotech

Miri Infotech, a software development and integration company, was able to help customers realize time to value by leveraging Dataguise DgSecure and AWS solutions. By doing so, Miri was able to uncover sensitive data and secure new customers across multiple regulated verticals by setting up environment on AWS.

Sensitive Data Discovery

Dataguise Discovery is a fully automated software solution for discovering and detecting all personal, conﬁdential, and otherwise sensitive data amassed by an enterprise. In use at Fortune- 500 companies since 2007, it is, by far, the most technologically advanced and proven solution available today.

Data Masking Must-Haves: Protecting Data Privacy, Maximizing Data Value

This eBook provides a good, solid overview of data masking. It covers when and why to mask data, the difference between masking and encryption, the various masking techniques, and best practices for masking to maximize the business value of the data.

Technology Gaps That Will Make or Break Your Data Privacy Operations & Compliance Strategy

It is personal data that represents, traces, and reveals our essence—the footprints of our lives. Explosive growth in new technology provides people a constant stream of choices in whether and when to be connected and to share their personal data.

Rethinking Data Management Practices for Privacy Compliance

Data privacy is among the most regulated areas of technology. Unfortunately, the concept is as vague as it is vital when it comes to exactly how to implement data privacy controls for the enterprise.

Data Privacy and Risk for Financial Services Organizations

From regulation to process, data privacy is everyone’s business. Download this eBook and learn about data privacy considerations for all roles within your financial services organization.

GDPR Compliance Step#1: Know Your Data

Knowing the personal data that exists in your enterprise is the only way to give individuals the right to be informed—or forgotten. Download this eBook and learn how automated personal data discovery can put you on the faster path to meeting these and other key GDPR requirements.

Securely Forklifting Enterprise Data to the Cloud

One of the biggest barriers for enterprises to migrate to the cloud has been the lack of a comprehensive and reliable security solution. Data cannot be forklifted to the cloud until all their sensitive data is secured through element-level encryption and/or masking.

GDPR Is Coming: What It Is And Why It Matters to Your Bottom Line

The countdown has begun. The General Data Protection Regulation (GDPR) is set to take effect in the spring of 2018, and with it comes many changes.

Securely And Selectively Migrating Enterprise Data to the Cloud

Enterprises today have so much data and so many different requirements to use their data that there is a high variability in how data is collected, where it is stored, and how it is used. The ramifications of such variability is that enterprises cannot just forklift their entire data repository to the cloud, but instead require a much finer control on how and when they can do so.

Is Your Sensitive Data Safe In The Cloud?

Cloud providers such as AWS take responsibility for securing their cloud infrastructure. They also give you tools and support to help you secure the data you put into the cloud. But is that enough to safeguard your most sensitive data?

Safely Unlock the Benefits of Big Data in the Cloud

Even though big data and cloud computing have moved beyond the hype and into mainstream adoption, many companies hesitate to embark on cloud-based big data projects. This eBook explains how Dataguise and Microsoft help address the biggest obstacles to unlocking the benefits of big data in the cloud.

Seven Questions Board Members Need to Ask About Big Data Security

In this age of big data and the cloud, data security is no longer just an IT concern but a fundamental business issue. Boards of directors can be held responsible if organizations do not take adequate steps to reduce risk and protect confidential information. This eBook helps board members get a handle on their organization’s risk profile.

Data-Centric Security: The Only Solution to Keep Big Data Safe

Data in big data platforms like Hadoop is vast, varied, and vague, making it difficult to keep secure using traditional methods. This eBook explains why detecting and protecting data at the data (or element) level is the only way to keep confidential information safe as organizations consume and expand access to more and more data across the enterprise.

Sensitive Data Discovery

It’s the process by which sensitive data within a data repository is located, identiﬁed, counted and reported. To keep things simple, we use the term “sensitive data” to describe any type of personal, private, conﬁdential or otherwise sensitive data or information. Knowing exactly what and where sensitive data exists in your organization at any give time is foundational to managing data privacy, security and risk, as well as maximizing data value.

Dataguise Data Protection

Perimeter security, which secures the network around the business’s core data has been declared dead in recent years.

Privacy Operations

How Dataguise provides full data privacy protection at the data level, the enterprise level, and the individual level.

Dataguise Data Subject Access Requests(DSARs)

Even before the General Data Protection Regulation(GDPR) and the California Consumer Privacy Act (CCPA), data privacy regulations around the world have granted individuals the right to request a copy of all the personal data a company has about them and either make updates to it or demand its deletion.

Data Modernization

Data modernization is an umbrella concept that involves recognition and adoption of newer systems that will make collection, storage, consumption and utilization of data more effective and efficient. This could imply fundamental changes at many levels of the data lifecycle for example, data that is rarely accessed could be migrated into a cheap low throughput cloud store, or data that is concurrently queried might be migrated into a highly optimized data warehouse.

The Questions You Should Be Asking…

Do you de-identify sensitive data in repositories across the enterprise to align with compliance and privacy regulations (i.e. PII, GDPR, CCPA, HIPPA)?

Get the CCPA ‘Top 10’ Preparation Checklist

The regulations are numerous across the globe, and the need to protect your customers’ data is stronger than ever. Organizations should not be waiting for regulations and legislation to ensure they are protecting themselves and their customers.