The rise of data-driven workplace safety measures, involving devices, AI analytics, cloud computing, and IoT-connected machinery, creates distinct data privacy and security challenges. The integrity and confidentiality of this data need to be maintained across various platforms during transmission and storage, with compliance to regulations including GDPR and HIPAA. In this complex ecosystem, unethical handling of data can lead to unauthorized access, non-adherence to legal requirements, and data storage complications due to different jurisdictional regulations. Robust encryption, access controls, multi-factor authentication, and machine learning-driven anomaly detection are vital to manage these challenges, as is continuous monitoring and incident response.
The trust deficit in CNI: How to address a growing concern
The growing integration of digital systems into critical infrastructure opens up new vulnerabilities to cyber threats. High interconnectivity between various national infrastructure systems (transport, healthcare,
