Data is the most important resource for today's companies, as they compete in a digitized and
globalized market where competition is increasing and comes from all over the world. In this context, good information management is key to differentiation.
Basing company decisions on the data available is one of the best alternatives to compete and take advantage of market opportunities and trends. So betting on new technologies such as big data and artificial intelligence is essential to keep growing.
However, when working with information, it is important to comply with existing data protection laws and regulations to ensure the privacy and integrity of sensitive and valuable information.
At AyGLOO we offer you the ideal artificial intelligence and data protection solution so that you can get the maximum value from all the information that your business handles, while ensuring compliance with the Spanish Data Protection Act and the European GDPR.
How to comply with the GDPR
The General Data Protection Regulation (GDPR) is a European regulation that aims to protect users' personal and sensitive information by promoting a secure and transparent system. All companies, organizations or professionals that deal with personal and sensitive data of third parties are required to comply with the GDPR.
In order to adapt to the GDPR in a business it is important to comply with a series of criteria, something that is facilitated by carrying out a data protection audit:
User consent. The data that is saved or stored must always have the prior and explicit consent of the customer or user. In addition, the user must be given the opportunity to refuse such an option, in which case his or her data may not be processed or stored.
Full information. Clear, transparent and visible information should be provided to users about the processing and use that will be made of their personal data, as well as their right to the deletion of their personal data and the procedures to achieve it.
Assignment of a data protection officer. It will be necessary to appoint a Data Protection Officer who will be responsible for its management and treatment.
Application of artificial intelligence for data protection compliance
Personal data plays a fundamental role in the use of AI in a company. Both in the process of learning or training artificial intelligence algorithms, as well as in their application, the personal information they handle must be protected to prevent it from being exposed to unauthorized third parties.
Although many artificial intelligence systems do not process personal data, they are commonly used in companies in many processes and tasks that do work with user, employee and customer data. This is the case of marketing and sales strategies or human resources departments. The application of AI in these processes increases the risks of exposure, so it must be implemented properly to always guarantee privacy (that the information cannot be consulted by unauthorized persons) and integrity (that it is not modified in any way during its processing).
For example, artificial intelligence applied to a regulated sector (e.g., pharmaceuticals or healthcare facilities) must avoid processing sensitive data, such as information about patients' health, race or religious beliefs. Such data can only be processed by AI algorithms if the user has given his or her explicit prior consent, so as to provide an environment where a high level of protection and security is guaranteed.
Controlling the use of data in AI
A key point to ensure a secure environment for applying AI on a company's data is to implement an adequate monitoring and control system. With this type of solution, it is possible to act proactively, even before a security incident affects the data processed by the algorithms.
This makes it easier to take appropriate measures to prevent data exposure or to act appropriately in case of exposure (e.g. minimize the consequences or notify authorities and stakeholders within 72 hours).
When implementing artificial intelligence systems, an audit helps to know in depth the risks faced by the data while it is stored and processed by the AI algorithm. With this information, it is easier to comply with data protection and conform to the current LOPD and RGPD regulations.
Artificial intelligence and data protection are concepts that must go hand in hand in a company because to implement AI systems it is necessary to handle large volumes of information, which implies taking into account the different criteria set by current legislation on data protection.