Wildlife crime is costly, not only for ecosystem conservation but also for local and national economies. Traditional methods of combating wildlife crime include regular patrols and camera traps, but these are also costly in manpower and resources. New tools using artificial intelligence are advancing the fight against wildlife crime. Applications of machine learning have become a powerful tool for detection and identification both of the wildlife they seek to protect and of crimes being committed.