This paper presents a taxonomy of tactics used to misuse generative AI (GenAI), based on analysis of 200 reported incidents of GenAI misuse between January 2023 and March 2024. The study identifies key patterns in how GenAI is exploited, including tactics such as impersonation, falsification, and scaling and amplification of content. The research highlights that most misuse cases involve the exploitation of GenAI capabilities rather than direct attacks on the systems themselves. The most common motivations for misuse include opinion manipulation, monetization, scams, harassment, and increasing reach. The study also identifies new and lower-level forms of misuse that are not overtly malicious but still have significant ethical implications. These include the use of GenAI for political outreach, self-promotion, and advocacy that blur the lines between authenticity and deception. The findings provide insights for policymakers, researchers, and safety teams to develop effective mitigations against GenAI misuse. The study also highlights the need for better technical and non-technical interventions to address the growing threat of GenAI misuse.This paper presents a taxonomy of tactics used to misuse generative AI (GenAI), based on analysis of 200 reported incidents of GenAI misuse between January 2023 and March 2024. The study identifies key patterns in how GenAI is exploited, including tactics such as impersonation, falsification, and scaling and amplification of content. The research highlights that most misuse cases involve the exploitation of GenAI capabilities rather than direct attacks on the systems themselves. The most common motivations for misuse include opinion manipulation, monetization, scams, harassment, and increasing reach. The study also identifies new and lower-level forms of misuse that are not overtly malicious but still have significant ethical implications. These include the use of GenAI for political outreach, self-promotion, and advocacy that blur the lines between authenticity and deception. The findings provide insights for policymakers, researchers, and safety teams to develop effective mitigations against GenAI misuse. The study also highlights the need for better technical and non-technical interventions to address the growing threat of GenAI misuse.