Description: Data risk management in the context of IoT (Internet of Things) security refers to the systematic process of identifying, assessing, and mitigating risks associated with the collection, storage, and transmission of data through connected devices. In an environment where millions of devices are interconnected, the amount of data generated is immense, increasing vulnerability to cyberattacks and security breaches. Data risk management involves implementing policies and practices that ensure the integrity, confidentiality, and availability of information. This includes identifying critical assets, assessing potential threats, implementing appropriate security controls, and continuously monitoring systems. The importance of this management lies in the need to protect both users’ personal information and organizations’ operations, as a security failure can result in significant financial losses, reputational damage, and legal issues. In summary, data risk management is an essential component for ensuring a secure environment in the growing IoT ecosystem, where data protection is fundamental to user trust and business sustainability.
