Testing the Machines’ Tricks
摘要
The material developed so far establishes a clear trend: adversarial capabilities have evolved from static, tool-based methods to adaptive, learning-driven operations that improve through each interaction. Earlier chapters showed how AI systems create credible pretexts, automate reconnaissance, and run multi-channel deception campaigns that surpass human speed and scale. This creates an attack surface that integrates technical exploitation with psychological manipulation into a continuous process, in which every defensive action provides immediate feedback for adversarial refinement.