For example, Theresa Bui, director of IoT strategy at Cisco, and Syed Zaeem Hosain, CTO of Aeris, have provided valuable insights into the need for strong Data Governance in industrial contexts, especially those dependent on IIoT networks, such as the automotive industry. For instance, they’ve noted that car manufacturers use connected technologies to enhance production efficiency while safeguarding proprietary information.
These companies must balance operational data iraq whatsapp number data sharing with device manufacturers against protecting sensitive intellectual property, highlighting the need for a clear-cut Data Governance framework to manage data flow and access within an industrial IoT environment. Additionally, with regulations like GDPR and CCPA, compliance becomes a critical aspect of IoT Data Governance, as policies must ensure that data is collected, processed, and stored in compliance with these regulations, respecting user privacy and consent.
A key step in mastering Data Governance for IoT devices involves differentiating its three aspects – security, privacy, and protection. While they may seem alike, these terms represent different aspects of data security in the context of IoT. Security means limiting unauthorized third-party access, using measures including encryption, firewalls, and secure authentication to help prevent data breaches and ensure that unauthorized parties do not access or alter sensitive information.