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GDPR and The Data Governance Imperative

AIIM

This is the 12th post in a series on privacy by Andrew Pery. You might also be interested in: The Re-Permissioning Dilemma Under GDPR. Data Privacy and Open Data: Secondary Uses under GDPR. Three Critical Steps for GDPR Compliance. Mitigate Data Privacy and Security Risks with Machine Learning.

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Indonesia Soon to Become the Fifth ASEAN Country to Adapt Data Privacy Laws

Security Affairs

Indonesia’s adaptation of the law heavily resembles the European Union’s GDPR. The draft bill accedes to almost all rights of data subjects as per the GDPR as well as the general regulations in regards to personal data processing. General personal data v. specific personal data. Key Provisions.

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China’s PIPL has finally arrived, and brings helpful clarification (rather than substantial change) to China’s data privacy framework

DLA Piper Privacy Matters

Rather than bringing substantial changes to the existing China data privacy framework, the PIPL helpfully consolidates and clarifies obligations on processing of personal information at a national law level. To be clear, this is not China’s own GDPR. Once no longer needed, the data should be de-identified or deleted/destroyed.

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IBM Cloud delivers enterprise sovereign cloud capabilities

IBM Big Data Hub

We strongly believe the influx of data associated with AI will fuel tremendous business innovations, but requires strategic considerations, including around where data resides, data privacy, resilience, operational controls, regulatory requirements and compliance, and certifications.

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Best Encryption Software for 2022

eSecurity Planet

By encrypting data, it can only be accessed with the right password and by those with the appropriate access rights. Encryption technology has evolved over the years to cover data in use, and the emerging power of quantum computing has given rise to quantum cryptography. This adds a vital extra layer of security.

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5 things to know: IBM Cloud’s mission to accelerate innovation for clients

IBM Big Data Hub

These capabilities are especially critical for machine learning , artificial intelligence , simulation and other high-performance computing (HPC) workloads. Additionally, clients across industries are taking advantage of IBM Cloud® HPC and grid computing to innovate faster.

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MY TAKE: COVID-19’s silver lining could turn out to be more rapid, wide adoption of cyber hygiene

The Last Watchdog

Still, over time, they’ve been woven into baseline data security regulations far and wide. NIST specs are echoed in the data loss disclosure and data privacy laws that have cropped up in many U.S. states, for instance. Shamoon motivated the Saudis to seriously ramp up the work of its National Cyber Security Center.