On 25 May 2018, the provisions of the general Regulation of the European Parliament and of the Council (EU) 2016/670 of 27 April 27 2016, on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (the General Data Protection Regulation (GDPR)) will enter into force. The changes are many.
On June 30, 2015, Connecticut’s governor signed into law an amendment to the state’s data-security-breach-notice statute to mandate ‘appropriate’ identity theft prevention services for breaches involving social security numbers. Identity theft mitigation services are also required ‘if applicable’, e.g., if identify theft actually occurs. The services must be provided at no cost and for at least 12 months. The statute does not explain which identity theft ‘prevention’ or ‘mitigation’ services are mandated or which are ‘appropriate.’
On 15 June 2015 the European Council published its final proposed text for the new General Data Protection Regulation. The Regulation is being adopted to provide legal certainty and transparency for businesses and to provide individuals with the same level of rights and obligations in all EU Member States.
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Twenty years ago, the social media world we now live in was the stuff of science fiction. Today, social media is a critical business tool creating unprecedented opportunities for direct consumer interaction, brand awareness, checking the pulse of key constituents and so much more. This incredible opportunity is not risk-free, however, and is the subject of new laws, application of old laws to new situations, and a significant amount of murkiness. Fortunately, the risks can be managed by considering the issues created by social media and that begins with asking the right questions. Please click here to view a discussion of ten important questions every business can start with to better benefit from its social media presence.
Our October 30th blog introduced and explained the concept of Big Data. Here we look at some of the pitfalls of collecting the massive amounts of small data that combine to become Big Data. We imagine the ranges of bits and bytes of small data that combine to create Big Data as herds of grazing horses susceptible to round up and inclusion in a Big Data corral. Read More