The new capabilities of offensive generative AI applications urge novel countermeasures so that malicious contents generated with them can be (more likely) detected, and the associated threats mitigated, and potentially even prevented. Such countermeasures can be reactive (e.g., detecting generative AI-generated text, images, voices, or videos) or proactive (such as securing generative AI use, watermarking, and GAN fingerprinting).