Adversarial Machine Learning in Global Finance

Securing the perimeter of financial systems requires continuous red teaming. Global financial markets are increasingly driven by automated agents, creating new surface areas for attack.

This post examines how "data poisoning" and model inversion can be mitigated through robust validation layers and adversarial training protocols.