Remove tag personally-identifiable-information
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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. As indicated in the paragraph quoted above, the company collected some very sensitive personal information.

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GDPR personal data explained

Collibra

The General Data Protection Regulation (GDPR), in force since May 25, 2018, requires businesses to protect the personal data and privacy of European Union (EU) citizens, for transactions that occur within EU Member States. The GDPR also regulates the exportation of personal data outside the EU. Location data .

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Guest Post -- GDPR Compliance starts with Data Discovery

AIIM

The primary challenge appears to be lack of sufficient insight to information holdings that may span email, file shares, content repositories and yes in many cases paper-based files. Not surprising the PwC Pulse Survey found that initial investments are expected to be in data discovery best practices and tools.

GDPR 102
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Data privacy examples

IBM Big Data Hub

A navigation app anonymizes activity data before analyzing it for travel trends. A school asks parents to verify their identities before giving out student information. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

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How Data Governance Protects Sensitive Data

erwin

An assessment of the data breaches that crop up like weeds each year supports the conclusion that companies, absent data governance, wind up building security architectures strictly from a technical perspective. When an organization knows what data it has, it can define that data’s business purpose.

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How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification

Thales Cloud Protection & Licensing

In a recent study , IDC predicted the global datasphere will more than double in size from 2022 to 2026, and that 80% of that data will be unstructured. Traditional approaches to data classification use manual tagging which is labor-intensive, error-prone, and not easily scalable.

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China finalises its Generative AI Regulation

Data Protection Report

the CAC) commence supervisory checks on the generative AI service, co-operate with them, explain the source, size and types of the training data, tagging rules and the mechanisms and principles of the algorithm and provide necessary technology and data, etc., for support and assistance.