Adversarial AI attacks target machine learning models — data poisoning (corrupting training data), evasion attacks (crafting inputs to fool models), model inversion (extracting training data).
AI-powered attacks include deepfakes for social engineering and adversarial images that fool facial recognition. AI security is an emerging Security+ domain topic.