To assess security implications of deploying a machine learning model, I evaluate the model’s vulnerability to adversarial attacks by conducting robustness testing. This involves generating adversarial examples and assessing their impact on model performance. It’s crucial to also implement monitoring systems to detect unusual patterns that could indicate an attack.