In the DIfA project, the use of anomaly detection using autoencoders was evaluated in the context of audit tests. The results were published in a paper titled “Using Autoencoders for Data-Driven Analysis in Internal Auditing”, which was accepted at the Hawaii International Conference on System Sciences (HICSS) 2021 and will be presented and published from January 04 to 09. HICSS 2021 will be held virtually and participation is free of charge for visitors (https://hicss.hawaii.edu/)