The energy sector is no stranger to data security issues. In 2016, for instance, data security attacks on organisations in the energy sector accounted for 20 per cent of the total number of such attacks in the US. Power companies need to explore several measures to avoid such attacks in the present and
Smart cities and smart homes employ a host of automation tools and technologies for various purposes. Some examples of smart home robots include robotic fitness trainers, smart kitchen robots and companion robots. While robotics enhances the convenience quotient of users’ lives, their hyper-connected nature means that they’re vulnerable to data security threats
Machine learning and AI have penetrated nearly every type of organisation today due to the efficiency and autonomy they bring to every business operation. AI makes its way into such sectors in various forms — cognitive automation, decision-making applications, predictive analytics, and several other avatars. In recent years, healthcare has seen an increasing number of AI applications, such
Emotet can be described as an advanced trojan that can be initiated in multiple ways by cybercriminals. It is one of the most dangerous cyber threats that can cause data loss in financial institutions’ databases. As stated earlier, such attacks can be carried out via malicious scripts, links, phishing emails, macro-enabled document files, or in a few other ways. The virus has also undergone a few