For example, the European Union (EU) Directive on Data Protection that came into effect in 1998 requires all EU-based organizations to store any personal content within the EU
France’s new Digital Republic Act [1] significantly strengthens protections that control how French businesses use and retain personally identifying data. The law expands the scope and authority of the 1978 French Data Protection Act and brings the country to the foreground of modernizing the legal framework of the information economy ahead of the 2018 implementation of the General Data Protection Regulation (GDPR)
In December 2015, the European Parliament passed the long-awaited changes to the EU Data Protection Directive, which has governed EU privacy rights since it was ratified in 1995. While the provisions of the EU General Data Protection Regulations (GDPR) will not become binding until 2018, its provisions considerably expand privacy rights by imposing rigorous obligations on data processors and controllers that span breach notification, data anonymization and trans-border data transfers
Here are just a few upcoming laws worth noting: European Union – General Data Protection Regulation: In May of 2016, EU policy makers implemented a comprehensive legislative reform of personal data protection rules. Going into effect on May 25, 2018, it places a high standard of protection on personal data held by companies by regulating the collection, use, storage, and breach notification protocol of such data
Do I need local immediate support and service in addition to the protection provided by equipment replacement clauses in procurement agreements?
It goes without stating that companies must be vigilant in designing both privacy and security protections into their design and quality assurance practices
Here are some reasons: The Challenges of Content Overload 80% of enterprise data is unstructured 60% of documents are obsolete 50% of documents are duplicates The benefits of automatic semantic metadata generation Elimination of costs and errors associated with end user tagging Identification and protection of secure content assets from unauthorized access and portability in accordance with compliance procedures Automatic identification and tagging of documents of record Normalization of content across functional and geographic boundaries Integration with search Ability to apply policy consistently across diverse repositories and environments Given the fact that metadata is the missing link in auto-classification, my question is why more organizations aren’t jumping on the bandwagon?
Companies offering dedicated data breach resolution services can provide call centers and identity theft protection for affected customers, and should ideally be hired before the breach occurs to obtain the most cost-effective rates
There are a number of definitions to Data Classification provided by Wikipedia which are: Data classification (data management) Data classification (business intelligence) Classification (machine learning) , classification of data using machine learning algorithms Assigning a level of sensitivity to classified information If you take a look at these you will see that there is relevance to all of it but at Boldon James we want to draw your attention to the fourth point ‘Assigning a level of sensitivity to classified information’ and more specifically: ‘Some corporations and non-government organizations also assign sensitive information to multiple levels of protection, either from a desire to protect trade secrets, or because of laws and regulations governing various matters such as personal privacy, sealed legal proceedings and the timing of financial information releases.’
Requirements for trustworthiness can be found in ISO15489, Rules of Evidence, etc. and relate to requirements such as access controls/protection, unalterablity, integrity, authenticity, etc. 3
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