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Every AI application that accepts user input faces the same fundamental threat. A user can craft input that manipulates the AI into doing something it should not. This attack has a name: prompt injection. And in 2026, it remains the most common and most dangerous vulnerability in AI powered applicat
Most AI security conversations focus on prompt injection and adversarial inputs. Those matter, but there is a deeper threat that happens before an AI system ever goes live. Model poisoning attacks compromise the training process itself, embedding vulnerabilities that persist through deployment.
