Remove tag data-protection-impact-assessment
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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The app heavily encrypts all user financial data.

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What Is VLAN Tagging? Definition & Best Practices

eSecurity Planet

This separation helps to control traffic, optimize network performance, and even improve security by isolating sensitive workloads and data. That’s where VLAN tagging — the practice of adding metadata labels, known as VLAN IDs, to information packets on the network — can help.

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Work Remotely Without Compromising Your Data

AIIM

With the new year in full swing, there's a lot of conversation around what comes next and what 2020's impact will mean for 2021. A recent study commissioned by Egnyte surveyed 400 IT leaders to understand how COVID-19 has impacted businesses’ ability to maintain data security and governance with a distributed workforce.

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$10,000,000 civil penalty for disclosing personal data without consent

Data Protection Report

The claims related to the company’s sharing personal data without consumer consent and making it very difficult for consumers to cancel their subscriptions to this telehealth service. The order also requires that the company destroy personal data for which it had not received consent and to create a document retention and destruction policy.

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How Data Governance Protects Sensitive Data

erwin

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance.

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What’s new in OpenText Axcelerate

OpenText Information Management

relies on subject matter experts to train the algorithm on a sample data set before review begins, second generation TAR (TAR 2.0) is also paired with a unique contextual diversity algorithm that eliminates the risk of missing relevant documents by surfacing documents from contextually diverse pockets of data.

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6 Best Threat Intelligence Feeds to Use in 2023

eSecurity Planet

Threat intelligence feeds are continually updated streams of data that inform users of different cybersecurity threats, their sources, and any infrastructure impacted or at risk of being impacted by those threats.