Datarisico

Datarisico is a concept derived from the combination of the words "data" and "risico," the Dutch word for risk. It is used in the context of data governance, data protection, and information security to describe the potential threats, vulnerabilities, and negative outcomes associated with the management and use of digital data. The term encompasses a wide range of issues that can affect the availability, integrity, confidentiality, and accountability of data within an organization, across industries such as finance, healthcare, government, and technology.

In practice, datarisico assessment involves identifying data-related risks, evaluating the likelihood and impact of these risks, and implementing controls or mitigation strategies. This process often relies on frameworks such as ISO 27001, NIST Cybersecurity Framework, and GDPR compliance guidelines. Risk owners, data stewards, and the chief information security officer play key roles in monitoring data quality, ensuring data lineage, and establishing data access policies to reduce exposure to breaches and misuse.

Organizations also use datarisico metrics to prioritize investments in data security and to justify budget allocations. Common metrics include the number of high‑severity vulnerabilities, incident response times, and the percentage of data that meets compliance obligations. Automated tools that scan databases, applications, and cloud services help generate actionable insights on datarisico, enabling continuous improvement of data protection strategies.

While the term is most prevalent in European contexts, the underlying principles are applicable worldwide. By formally addressing datarisico, businesses can protect sensitive information, maintain customer trust, and comply with legal and regulatory requirements.