Digital Compliance (Data Protection & Privacy)

The approval in 2018 of the General Data Protection Regulation (GDPR) marked a turning point for harmonizing the protection of the rights of individuals in relation to the processing of personal data throughout the European Union.

Since then, the interest in the role played by public and private entities in the processing and management of personal data has been growing because it is necessary to analyze the new digital operation from the perspective of risks and compliance.

Furthermore, organizations must keep in mind the regulatory compliance of the most transversal and generic aspects of their digital activity, for which not only the GDPR is crucial, but also other legal texts such as ISO 27002 for information security or the Law on Information Society Services and Electronic Commerce (LSSI), as well as legal figures such as the Data Protection Officer (DPO).

Companies must address regulatory compliance as a priority, as not doing so entails not only legal and economic sanctions, but also the loss of consumer trust.

The GDPR has been a fundamental catalyst for establishing stricter standards in the protection of personal data. This has forced organizations to reevaluate their internal processes and adopt specific measures to ensure the security and privacy of the information they handle. The role of the Data Protection Officer (DPO) has gained significant relevance in this context, being responsible for overseeing compliance with data protection regulations and acting as a liaison with supervisory authorities.

In this scenario, the focus on compliance not only involves adherence to current regulations, but also the adoption of a proactive mindset towards data protection. Organizations that recognize the importance of maintaining high ethical standards in information management not only comply with laws but also build a solid reputation for reliability and accountability in an ever-evolving digital environment.

In the field of Artificial Intelligence (AI), the processing of personal data becomes even more relevant. Organizations that use AI to analyze personal information must be particularly careful to comply with current regulations, as the collection and processing of data to train AI algorithms can involve significant privacy risks. The GDPR and other legal regulations become fundamental guides to ensure that the development and implementation of AI solutions respect privacy and individual rights.