In this whitepaper, we give a compact overview of possible attacks on Reinforcement Learning systems as well as corresponding defences. The document is targeted at developers of artificial intelligence systems and experts assessing the security of such systems, especially those focused on Reinforcement Learning. Its goal is to sensitize for possible attack vectors and to present possible defences, without going into too much technical detail. The document can be used as a substantive basis for a risk analysis