With less than a year until the new implementation date, how can organizations successfully prepare for Thailand’s PDPA enforcement come May 31, 2021?
Data Protection
Certain types of personal data are very valuable to criminals, and can be very damaging to an individual or business if it falls into the wrong hands. As the world becomes more digital and more connected, more of this sort of data is generated and passed between various sources on a regular basis.
Government regulations and supervisory authorities aren’t just about keeping irresponsible parties in line. They also provide vital security guidance to every type of organization that handles sensitive personal, business or government information.
Data protection regulations also ensure that the end user has a transparent view of and a say in the processing of personal data. These safeguards play a significant role in everything from the preservation of civil rights to ensuring that democratic institutions function properly.
Some types of personal data are clear candidates for regulation: medical records, banking information, national ID numbers and so on. But some of these regulations also cover items that might seem relatively innocuous at first glance: home addresses, email addresses, website profile information and so on. For example, the European Union General Data Protection Regulation (GDPR) has stipulations about anything that is unique to an individual to include phone numbers and social media accounts. People have varying levels of privacy preference with these items, but they are often protected by regulation because they can be used for targeted scams and attempts at identity theft.
Given that regulations often take the size and customer count of businesses into consideration in terms of penalties and the scope of protection of personal data, compliance is particularly important for enterprise-scale organizations. You do not necessarily have to have an active business presence in a country or region; simply storing data on or moving it through servers there may subject you to their data protection rules.
As the race for real-time data access intensifies, organizations are confronting a growing legal and operational challenge: web scraping. What began as a fringe tactic by hobbyists has evolved into a sophisticated, multibillion-dollar ecosystem driven by commercial data aggregators.
Proposed new set of rules would force Chinese tech companies with over one million users to apply for special cybersecurity approval before listing, citing the national security risks associated with that data falling into the hands of foreign governments.
Some ad tech vendors appear to be engaging in a form GDPR consent string fraud by knowingly tampering with the consent information found in a publisher’s consent string, in order to give them the ability to deliver personalized ads.
The EU GDPR signals a move towards a technology-based approach that can enforce data protection policies for personal data. What’s the solution?
The Trump administration's "AI Action Plan" will likely shape every aspect of AI development going forward, and OpenAI has submitted its own set of proposals to the White House, one that unsurprisingly calls for light AI regulations.
The agreement means that WhatsApp will make its privacy policy clearer to end users, in compliance with EU rules, in addition to making it easier for users to reject updates along with clearer explanations in situations where refusing the new privacy policy means agreeing to no longer use the service.
Following the Malaysia Personal Data Protection Act (PDPA), the Personal Data Protection Standards 2015 sets out the "minimum" standards to be observed.
A new bill on consumer privacy proposed in Maryland gives residents the right to opt out of certain types of personal data transfers to third parties.
Privacy management software can help you increase your efficiency and accuracy by automating complex or high volumes of privacy management activities, including privacy impact assessments (PIAs)/data protection impact assessments (DPIAs), data mapping/data inventory, and enterprise assessments. How do you choose?










