The Importance of Risk Management for Data Protection Practice

Data protection relied on a crucial instrument, which is risk management for meeting data protection laws. Risk management can also make sure for a decent data process and protect individuals’ rights and interests. To associate the role of risk management in data protection, there are three main focuses such as:

  1. Identifying and evaluating harms and another negative impacts process.
  2. Mitigating aspects that barely can be justified by offered benefits and other positive impacts.
  3. Obtaining and managing the risks remained.

The role of risk management in data protection can be seen at its implementation into legal requirements, being interpreted by regulators, and being practiced by responsible organizations. For data protection effectively, the growing consensus among risk management is fundamental. There are also several key considerations that affect the role of risk data protection law and practice such as risk management, balancing test, severity and likelihood, impacts identification, mitigating measures in risk management, proportionality responses in risk management, efficient risk management, integration with other risk management approaches, scope of risk management, risk management evaluation, and lastly organizational support.

Risk management does not change rights or obligations. It is an important tool to adjust the implementation and privacy requirements, action priority, and provide a scalable and proportionate approach to compliance. Data privacy can be perceived as fundamental rights therefore all kind of harmful actions against it should be avoided at any cost.