Businesses in the insurance sector use AI for multiple functions. For example, machine learning and AI-based tools can help such companies with optimising tasks such as commercial underwriting and the detection of fraudulent claims. At the same time, AI adoption always comes with the prospect of threats such as data poisoning that can affect
Telecommunication networks represent an oddly soft target for cybercriminals to exploit on a daily basis. Telecom networks contain tons of sensitive data; therefore, you may read several news reports from different countries about private or public-sector telecom companies and users facing cyber-attacks. With every passing year, the data security threats in this sector keep increasing and becoming more diverse. The number of mobile users
As the name suggests, Advanced Persistent Threats (APTs) are slow and unrelenting cyber-threats that slowly but surely take control of your data networks and cause damage to your IT infrastructure. Highly skilled cybercriminals maintain top-level secrecy while initiating such data security attacks on businesses, government websites and other digital platforms. For organisations in the construction business,
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
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