In the age of digitalisation, cyber security has taken on a central role in all areas of corporate management, including corporate treasury. Due to its central role in financial management and the processing of sensitive financial transactions, the treasury area is a particular focus of cyber criminals. This article examines the specific cyber threat potential in corporate treasury, particularly in payment transactions and data security, and discusses the requirements for treasury management systems (TMS) to increase cyber security. It also examines how artificial intelligence (AI) can help to strengthen the security architecture in corporate treasury.
The reason for this article is that the threat of cyber attacks in the financial sector and other sectors of the economy has continued to increase significantly in recent years, both in terms of quantity and quality. The annual damage caused to the German economy by cybercrime is estimated at around 206 billion euros. The increasing proportion of organised crime in these attacks is remarkable, with 61% of the companies affected attributing the attacks to such criminals.1 Cybercriminals are using a wide range of techniques, including phishing, password attacks and ransomware, with the use of artificial intelligence further increasing the efficiency and accuracy of these attacks. The risk assessment of companies has increased in parallel. Despite being aware of the dangers and the increasing number of attacks, many companies do not feel sufficiently prepared. The situation becomes even more explosive when you consider that considerable investments are being made in IT security. For example, according to the Federal Office for Information Security in its management report, around €7.8 billion was invested in cyber security in 20222.