From HFT to Cybersecurity — A Race Accelerated by AI

The author draws a parallel between the evolution of High-Frequency Trading (HFT) and the current state of cybersecurity. In HFT, the race for speed led to increasingly complex algorithms and a shift toward FPGA, as simple methods no longer provided a competitive edge. A similar process is unfolding in cybersecurity, where AI is radically changing the threat landscape. While developers previously could manually test code and protect services from classic vulnerabilities, the automation of attacks via AI now demands entirely new defense strategies. The article explores how the 'arms race' between attackers and defenders is accelerating due to neural networks, making cybersecurity a field where reaction speed and algorithmic complexity are decisive factors. The author emphasizes that the current situation requires a rethink of security methods, as traditional approaches are becoming increasingly vulnerable to intelligent, automated systems.