AI Threat Detection: Strategies to Identify and Stop Adversarial Attacks in Real Time
Artificial intelligence is no longer experimental—it is operational. AI systems now power fraud detection engines, recommendation systems, financial risk models, customer support automation, and autonomous workflows. As AI becomes embedded in critical business processes, attackers are shifting their focus from traditional infrastructure to the models themselves. Unlike conventional cyberattacks, AI-targeted threats manipulate model behavior, exploit