Data is becoming more and more valuable. Also, skills and opportunities for retrieving different types of personal data are evolving extremely fast. Unauthorized, careless or ignorant processing of personal data can cause great harm to persons and to companies.
To ensure that personal data is secure, it’s important to know what data is being processed, why it’s being processed and on what grounds. In addition, it’s important to identify which safety and security measures are in use. All of this is possible through a thorough data protection audit, which identifies the data flow and whether the data protection regulations are being followed. The audit can be carried out by answering a set of specific questions that have been prepared for that purpose. The results will give a clear overview of the procedures and possible data leaks, which can then be stopped.
The purpose of personal data protection isn’t to just protect person’s data, but to protect the fundamental rights and freedoms of persons that are related to that data. Whilst protecting personal data it is possible to ensure that persons’ rights and freedoms aren’t being violated. For example, incorrect processing of personal data, might bring about a situation where a person is overlooked for a job opportunity or, even worse, loses current job.
Secondly, not complying with the personal data protection regulations can lead to even harsher situations, where it’s possible to extract all the money from a person’s bank account or even cause a life-threatening situation by manipulating health information.
Thirdly, data protection regulations are necessary for ensuring and fair and consumer friendly commerce and provision of services. Personal data protection regulations cause a situation, where, for example, personal data can’t be sold freely which means that people have a greater control over who makes them offers and what kind of offers they make.
That is the reason that we have built Datasense, to ensure that you know where is your personal and sensitive data, how it is related and how an human interface can improve the automatic detection of sensitive data. For that Datasense uses NLP (Natural Language Processing) techniques and Machine Learning.
Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language.
NLP draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.